CN115814416A - Object observation method and device - Google Patents

Abstract

The embodiments of this specification provide an object observation method and device, wherein the object observation method includes: determining the current observation state of the observation camera of the target object at the current observation position; when it is determined that the current observation state satisfies the update condition, evaluating at least two preset observation positions of the target object to obtain an updated observation position, wherein the updated observation position is one of the at least two preset observation positions; position, and transfer to the updated observation position to observe the target object. Therefore, the observation angle and observation position of the observation camera can be flexibly adjusted, avoiding the problem that the target object cannot be displayed to the game player due to the observation camera being blocked, and improving the game player's game experience.

Description

Object observation method and device

technical field

The embodiment of this specification relates to the technical field of games, and in particular to an object observation method.

Background technique

With the continuous development of computer technology and game technology, in order to make it easier for gamers to play games, a camera will be installed in the game scene. , models and other game objects are rendered to the game interface for display to game players.

However, the camera in the prior art only moves along with the game object, and cannot flexibly adjust the viewing angle of the camera. When the camera is blocked by other models in the game scene, the game object cannot be better displayed to the game player, thereby reducing the The gaming experience of gamers.

Contents of the invention

In view of this, the embodiment of this specification provides an object observation method. One or more embodiments of this specification also relate to an object observation device, a computing device, a computer-readable storage medium and a computer program, so as to solve technical defects in the prior art.

According to the first aspect of the embodiments of this specification, there is provided an object observation method, including:

Determine the current observation status of the observation camera of the target object at the current observation position;

When it is determined that the current observation state satisfies the update condition, at least two preset observation positions of the target object are evaluated to obtain an updated observation position, wherein the updated observation position is the at least two preset observation positions one of the observation positions;

The observation camera is transferred from the current observation position to the updated observation position to observe the target object.

According to the second aspect of the embodiments of this specification, there is provided an object observation device, including:

A state determination module configured to determine the current observation state of the observation camera of the target object at the current observation position;

The position evaluation module is configured to evaluate at least two preset observation positions of the target object to obtain an updated observation position when it is determined that the current observation state satisfies the update condition, wherein the updated observation position is one of the at least two preset observation positions;

The camera transfer module is configured to transfer the observation camera from the current observation position to the updated observation position to observe the target object.

According to a third aspect of the embodiments of this specification, a computing device is provided, including:

memory and processor;

The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above object observation method are realized.

According to a fourth aspect of the embodiments of the present specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above object observation method are implemented.

According to a fifth aspect of the embodiments of the present specification, a computer program is provided, wherein, when the computer program is executed in a computer, it causes the computer to execute the steps of the above object observation method.

An object observation method provided by an embodiment of this specification includes: determining the current observation state of the observation camera of the target object at the current observation position; Two preset observation positions are evaluated to obtain an updated observation position, wherein the updated observation position is one of the at least two preset observation positions; the observation camera is transferred from the current observation position to the The observation position is updated to observe the target object.

Specifically, the method pre-sets at least two preset observation positions for the target object, and when the observation camera for the target object is determined and the current observation state of the current observation position satisfies the update condition, the at least two preset Select an updated observation position in the observation position, and transfer the observation camera to the updated observation position to observe the target object, so as to flexibly adjust the observation angle and observation position of the observation camera, and avoid the The problem that the target object caused by occlusion cannot be displayed to the game player improves the game experience of the game player.

Description of drawings

Figure 1 is a schematic diagram of the application of an object observation method provided by an embodiment of this specification;

Fig. 2 is a flowchart of an object observation method provided by an embodiment of this specification;

Fig. 3 is a schematic diagram of a camera position in an object observation method provided by an embodiment of this specification;

Fig. 4 is a flow chart of the processing process of an object observation method provided by an embodiment of this specification;

Fig. 5 is a schematic structural diagram of an object observation device provided by an embodiment of this specification;

Fig. 6 is a structural block diagram of a computing device provided by an embodiment of this specification.

Detailed ways

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the specification. However, this specification can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of this specification, so this specification is not limited by the specific implementations disclosed below.

Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and/or" used in one or more embodiments of the present specification refers to and includes any or all possible combinations of one or more associated listed items.

It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present specification, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, the first may also be referred to as the second, and similarly, the second may also be referred to as the first without departing from the scope of one or more embodiments of the present specification. Depending on the context, the word "if" as used herein may be interpreted as "at" or "when" or "in response to a determination."

First, terms and terms involved in one or more embodiments of this specification are explained.

NPC: It is the abbreviation of non-player character. NPC is a type of character in the game, meaning a non-player character, which refers to a game character in a video game that is not manipulated by a real player.

In this specification, an object observation method is provided. This specification also relates to an object observation device, a computing device, and a computer-readable storage medium, which will be described in detail in the following embodiments one by one.

Referring to FIG. 1, FIG. 1 shows a schematic diagram of the application of an object observation method provided according to an embodiment of the present specification; based on FIG. At the same time, there is a corresponding virtual camera for the target character, and the virtual camera can shoot the target character, and render the target character within the shooting field of view to the object display interface, so as to show the target character to the game player. However, when the target character leaves the shooting angle of the virtual camera, the virtual camera cannot capture and shoot the target character. Therefore, it is necessary to select an optimal camera with the highest quality from the 4 preset camera positions corresponding to the target character. position, and move the virtual camera from the current shooting position to the optimal camera position, and shoot the target character, so as to obtain a complete display of the target character to the game player, and improve the game player's gaming experience. Wherein, the virtual camera may be an observation camera, the target character may be a target object, the camera position may be a preset observation position, and the optimal camera position may be an updated observation position.

Based on this, the object observation method provided in this manual can flexibly adjust the observation angle and position of the observation camera, avoiding the observation camera being blocked, the target object leaving the observation field of view of the observation camera, and the distance between the observation camera and the target object. The target object cannot be well displayed to the game player due to reasons such as too close or too far, which improves the game player's gaming experience.

Referring to FIG. 2, FIG. 2 shows a flow chart of an object observation method provided according to an embodiment of the present specification, which specifically includes the following steps.

Step 202: Determine the current observation state of the observation camera of the target object at the current observation position.

Wherein, the target object can be understood as the object that needs to be observed by the observation camera, for example, the game model in the game scene, including but not limited to the game character model controlled by the game player, the NPC that automatically moves in the game scene, the game scene Automatically move animal models or pet models, etc.

The observation camera can be understood as a camera in the game. The observation camera can shoot the game scene or the model in the game scene, and can also render the captured game scene or model to the object display interface, so that the game can be displayed through the object display interface. The scene or model is shown to the game player.

The current observation position may be understood as the observation position of the observation camera, for example, the current position of the observation camera. In the embodiments provided in this specification, the current observation position does not follow the movement of the target object, that is, the current observation position is a fixed observation position.

The current observation state can be understood as information representing the current observation state of the observation camera for the target object, for example, the current observation state includes information such as the distance between the observation camera and the target object, whether the observation camera is blocked or not.

Specifically, in the object observation method provided in this specification, the target object has a corresponding observation camera, and the observation camera can observe the target object; based on this, the method can determine the observation camera of the target object, at the current observation position The current observation state for this target object. Wherein, in an embodiment provided in this specification, the operation of determining the current observation state may be triggered by timing triggering. That is to say, the object observation method provided in this specification determines the current observation state of the observation camera of the target object at the current observation position according to the preset time interval. Alternatively, the operation of determining the current observation status may also be triggered by request triggering. That is to say, the object observation method provided in this specification can receive a state determination request for the current observation state, and in response to the state determination request, determine the current observation state of the observation camera of the target object at the current observation position. The status determination request may be a status determination request sent by the user.

It should be noted that the object observation method provided in this manual can be applied on the server or the client, and can be set according to the actual application scenario. The object display interface can be understood as an interface for displaying a target object in the client, for example, the client can be a user terminal, and the object display interface can be an image display device of the user terminal. For example, the display screen on a mobile phone, the screen of a computer, etc.

Step 204: When it is determined that the current observation state satisfies the update condition, evaluate at least two preset observation positions of the target object to obtain an updated observation position, wherein the updated observation position is the at least two preset observation positions. One of the preset observation positions.

Wherein, determining that the current observation state satisfies the update condition may be set according to an actual application scenario, which is not specifically limited in this specification. For example, when the current observation state is the separation distance between the observation camera and the target object, determining that the current observation state satisfies the update condition includes: determining that the separation distance is greater than the maximum separation distance threshold The current observation state satisfies the update condition; that is, it is determined that the current observation state satisfies the update condition when the distance between the observation camera and the target object is too large.

Or, when it is determined that the separation distance is less than the minimum separation distance threshold, it is determined that the current observation state satisfies the update condition; that is, when the separation distance between the observation camera and the target object is too small, it is determined that the The current observation status meets the update conditions.

For another example, the current observation state is the information representing whether the observation camera is covered, and the information can be a value of 1 or a value of 0. The value of 1 indicates that the observation camera is not covered, and the value of 0 indicates that the observation camera is covered; in this case, the determination The current observation status meets the update conditions, including:

In a case where it is determined that the current observation state is consistent with the preset masking parameter, it is determined that the current observation state satisfies an update condition. The default masking parameter is a value of 0.

Alternatively, the current observation state may be an occlusion ratio that characterizes the occlusion degree of the observation camera, and the occlusion ratio may be any value within the range of 0%-100%, where 0% indicates that the observation camera is not occluded; the 100% indicates that the The observation camera is completely occluded. Alternatively, the occlusion ratio may be any value within the range of [0,1] or [0,100], wherein a value of 0 indicates that the observation camera is not occluded, and a value of 1 or 100 indicates that the observation camera is completely occluded. Based on this, the determination that the current observation state satisfies the update condition includes:

When it is determined that the occlusion ratio of the observation camera is greater than or equal to the preset occlusion threshold, it is determined that the current observation state satisfies the update condition, wherein the preset occlusion threshold can be set according to the actual scene, for example, a value of 0.5, a value of 50, 50%, etc.

The preset observation position may be understood as a preset position for observing the target object, for example, the preset observation position may be a preset camera position. Wherein, the preset observation positions may be distributed around the target object; a preset distance is stored between the preset observation positions and the target object, and the preset distance may be 5 meters, 10 meters, etc. The preset observation position may move along with the target object. That is to say, the coordinate information of the preset observation position will be adjusted according to the coordinate information of the target object, so as to achieve the operation of following the movement of the target object. For example, refer to FIG. 3, which is an implementation of this specification A schematic diagram of camera positions in an object observation method provided in the example; based on Figure 3, it can be known that the object observation method provided in this manual will set multiple camera positions around the target object, such as camera positions 1 to 8 in Figure 3 . A certain distance is kept between the camera position and the target object, and the plurality of camera positions will follow the target object to move.

The number of the preset observation positions can be set according to the actual application scenario, for example, the at least two preset observation positions can be at least four preset observation positions, at least eight preset observation positions, at least twelve preset observation positions location etc.

The updated observation location may be understood as a preset observation location to which the observation location needs to be transferred.

In an embodiment provided in this specification, the evaluating at least two preset observation positions of the target object to obtain an updated observation position includes:

determining at least two preset observation positions of the target object, and performing quality assessment on the at least two preset observation positions, and obtaining quality assessment results of the at least two preset observation positions;

Based on the quality assessment result, an updated observation location is determined from the at least two preset observation locations.

Wherein, the quality evaluation result may be understood as a result representing the observation quality of the preset observation location, for example, the quality evaluation result may be a quality evaluation score.

Specifically, in the object observation method provided in this specification, in the process of determining the update observation position, the quality evaluation of at least two preset observation positions of the target object will be performed first, so as to obtain the at least two preset observation positions. A quality assessment result, wherein each preset observation position has a corresponding quality assessment result.

Afterwards, based on the quality evaluation result, the preset observation position with the best quality is selected from the at least two preset observation positions, and the preset observation position with the best quality is used as the updated observation position, and subsequently the updated observation position can be It can better observe the target objects and improve the gaming experience of game players.

Taking the object observation method provided in this manual as an example in the scene of observing the target game pet, the operation of determining and updating the observation position will be described below. Wherein, the object observation method is applied to the client, the quality assessment result is the quality assessment score, and the target object is the target game pet. Based on this, when the client determines that the current observation state of the game camera satisfies the update condition, the client will determine the 8 camera positions set around the target game pet, and evaluate the quality of the 8 camera positions, so as to obtain The quality assessment score for each seat.

Then determine the maximum quality assessment score from the quality assessment score, and determine the flight position corresponding to the maximum quality assessment score as the flight position with the best quality. In the future, the game camera will be transferred to the camera with the best quality.

In the examples provided in this specification, in order to ensure the accuracy of quality assessment and further accurately select the updated observation location with the best quality, the object observation method provided in this specification will be based on multiple quality assessment strategies. performing quality assessment on the position; specifically, performing the quality assessment on the at least two preset observation positions, and obtaining the quality assessment results of the at least two preset observation positions, including:

determining an observation position to be evaluated among the at least two preset observation positions, wherein the observation position to be evaluated is one of the at least two preset observation positions;

Performing quality assessment on the observation location to be evaluated based on at least two quality assessment strategies, and obtaining at least two initial evaluation results corresponding to the observation location to be evaluated;

Based on the at least two initial evaluation results, quality evaluation results of the at least two preset observation positions are determined.

Wherein, the observation position to be evaluated can be understood as any one of the at least two preset observation positions.

The quality evaluation strategy can be understood as a strategy for evaluating the observation location to be evaluated, and the initial evaluation result can be understood as the evaluation result of the at least two quality evaluation strategies for the observation location to be evaluated; for example, the initial evaluation result can be Initial assessment score.

Following the above example, in the process of evaluating the preset camera positions, it is necessary to determine the multiple preset camera positions corresponding to the target game pet, and to evaluate the quality of the multiple preset camera positions based on the preset quality evaluation strategy. Evaluate, obtain multiple corresponding evaluation scores, and then calculate and obtain the final evaluation equal score of each preset camera position based on the multiple evaluation scores of each preset camera position.

In an embodiment provided in this specification, in order to ensure the accuracy of quality assessment, the quality assessment of the preset observation position will be performed based on multiple quality assessment strategies. Specifically, based on at least two quality assessment strategies, the performing quality assessment on the observation location to be evaluated, and obtaining at least two initial evaluation results corresponding to the observation location to be evaluated, including steps 1 to 5.

Step 1: Evaluate the observation location to be evaluated based on the location information of the target object, and obtain a first initial evaluation result.

Wherein, the position information of the target object can be understood as the coordinate information of the target object.

Further, the evaluation of the observation position to be evaluated based on the position information of the target object to obtain a first initial evaluation result includes:

determining the separation distance between the location information of the target object and the observation location to be evaluated;

An evaluation result matching the separation distance is determined based on a first preset result matching rule, and the evaluation result is determined as a first initial evaluation result of the observation position to be evaluated.

Wherein, the first preset result matching rule can be understood as a rule capable of determining matching evaluation results for separation distances. In practical applications, the object observation method provided in this manual will preset evaluation results corresponding to different separation distances. For example, when the separation distance between the target object and the observation position to be evaluated is greater than 10 meters or less than 1 meter, the evaluation result corresponding to the separation distance is 0 points. When the separation distance between the target object and the observation position to be evaluated is within the distance range of 4 meters to 6 meters, the evaluation result of the separation distance is 1 point.

Specifically, the object observation method provided in this specification can determine the location information of the target object, and calculate the distance between the location information of the target object and the observation location to be evaluated, for example, the distance is 5 meters.

Then, according to the preset result matching rule, a matching evaluation result, for example, 1 point, is determined for the separation distance. Then, the evaluation result is determined as the first initial evaluation result of the observation position to be evaluated, and subsequently an updated observation position with the best quality can be accurately determined based on the first initial evaluation result, and inappropriate camera positions are screened out.

Step 2: Evaluate the current observation state corresponding to the observation position to be evaluated, and obtain a second initial evaluation result.

Wherein, the current observation state corresponding to the observation position to be evaluated can be understood as the current observation state of the observation camera when the observation camera is located at the observation position to be evaluated.

Specifically, the evaluation of the current observation state corresponding to the observation position to be evaluated to obtain a second initial evaluation result includes:

determining a current observation state of the observation location to be evaluated based on an obstacle object between the observation location to be evaluated and the target object;

Based on the current observation state, a second initial evaluation result of the observation location to be evaluated is determined.

Wherein, the obstacle object can be understood as a game model existing between the observation position to be evaluated and the target object. For example, the obstacle object may be a tree model, a terrain model, an NPC, and the like.

Specifically, the object observation method provided in this specification can determine whether there is an obstacle object between the observation position to be evaluated and the target object, and determine the observation state of the observation camera when it is currently located at the observation position to be evaluated based on the obstacle object. For example, the current observation state is information representing whether the observation camera is covered, and the information may be a value of 1 or a value of 0, a value of 1 indicates that the observation camera is not covered, and a value of 0 indicates that the observation camera is covered.

Afterwards, the current observation state is used as the second initial evaluation result of the observation position to be evaluated, so as to facilitate subsequent determination of a preset observation position with a better current observation angle and not blocked based on the second initial evaluation result.

Following the above example, the object observation method can determine whether there are other game models between the preset camera position and the target game pet. In practical applications, one or more rays can be launched from the preset camera position to the current coordinates of the target game pet, and whether the rays are blocked by other models, and if blocked, the preset camera position and the target game pet can be determined There are other game models in between, and based on this, it can be determined whether the game camera is blocked when it is located at the preset camera position. When the game camera at the preset position is blocked, it can be determined that the evaluation score of the preset position is 0 points; when the game camera at the preset position is not blocked, it can be determined that the The evaluation score for preset seats is 1 point.

Step 3: Evaluate the observation position to be evaluated based on the current observation position of the observation camera, and obtain a third initial evaluation result.

Specifically, the evaluation of the observation position to be evaluated based on the current observation position of the observation camera to obtain a third initial evaluation result includes:

determining the separation distance between the current observation position of the observation camera and the observation position to be evaluated;

An evaluation result matching the separation distance is determined based on a second preset result matching rule, and the evaluation result is determined as a third initial evaluation result of the observation position to be evaluated.

Wherein, the second preset result matching rule can be understood as a rule capable of determining matching evaluation results for separation distances. In practical applications, the object observation method provided in this manual will preset evaluation results corresponding to different separation distances. For example, when the separation distance between the current observation position of the observation camera and the observation position to be evaluated is greater than 10 meters, the evaluation result corresponding to the separation distance is 0 points. When the distance between the current observation position of the observation camera and the observation position to be evaluated is less than 1 meter, the evaluation result of the distance is 1 point. That is to say, the evaluation result is negatively correlated with the separation distance, and the smaller the separation distance, the higher the score of the evaluation result.

Specifically, the object observation method provided in this specification can determine the distance between the current observation position of the observation camera and the observation position to be evaluated; for example, 0.5 meters.

Then, based on the second preset result matching rule, a matching evaluation result is determined for the separation distance, such as 1 point, and then the evaluation result is determined as the third initial evaluation result of the observation position to be evaluated, and the follow-up can be based on the third The initial evaluation results accurately determine the updated observation position with the best quality, and ensure that the position switching will remain as close as possible to the previous position, reducing the dizziness caused by switching positions, and improving the gaming experience of gamers.

Step 4: Evaluate the observation location to be evaluated based on the observation angle between the current observation location and the observation location to be evaluated, and obtain a fourth initial evaluation result.

Specifically, the evaluation of the observation position to be evaluated based on the observation angle between the current observation position and the observation position to be evaluated to obtain a fourth initial evaluation result includes:

determining the position information of the target object, and determining a first observation vector of the observation position to be evaluated with respect to the position information, and a second observation vector of the current observation position with respect to the position information;

determining an observation angle between the current observation position and the observation position to be evaluated based on the first observation vector and the second observation vector;

Based on the observation angle, a fourth initial evaluation result of the observation position to be evaluated is determined.

Specifically, the object observation method provided in this specification can determine the position information of the target object, and determine the first observation vector from the observation position to be evaluated to the target object based on the position information and the observation position to be evaluated; based on the The position information and the current observation position of the observation camera determine the second observation vector that the observation camera looks at the target object.

Calculate the observation angle between the current observation position and the observation position to be evaluated based on the first observation vector and the second observation vector; then determine the evaluation result matching the observation angle, wherein the evaluation result is negatively correlated with the observation angle, that is, the observation The smaller the angle, the higher the evaluation score, and then use the evaluation result as the fourth initial evaluation result of the observation position to be evaluated. The follow-up can accurately determine the updated observation position with the best quality based on the fourth initial evaluation result, and ensure that the camera position switching will maintain the previous angle as much as possible, preserve the stability of the camera, and reduce the dizziness caused by switching camera positions.

Step 5: use the first initial evaluation result, the second initial evaluation result, the third initial evaluation result, and the fourth initial evaluation result as at least two initial evaluations corresponding to the observation positions to be evaluated result.

Specifically, after the first initial evaluation result, the second initial evaluation result, the third initial evaluation result and the fourth initial evaluation result of the observation position to be evaluated are determined through the above quality evaluation strategy, the first initial evaluation result, the second initial evaluation result The second initial evaluation result, the third initial evaluation result, and the fourth initial evaluation result are at least two initial evaluation results corresponding to the observation positions to be evaluated, so as to facilitate subsequent calculations to obtain quality evaluation results of the at least two preset observation positions.

In an embodiment provided in this specification, the initial evaluation result is an initial evaluation score;

Correspondingly, the determining the quality evaluation results of the at least two preset observation positions based on the at least two initial evaluation results includes:

Based on at least two initial evaluation scores, the quality evaluation scores of the at least two preset observation positions are calculated.

Wherein, the initial evaluation score may be understood as a score representing the quality of the preset observation position, for example, any value within the range of [0,1].

Following the above example, the initial evaluation result is the initial evaluation score. Based on this, after determining the first initial evaluation score, the second initial evaluation score, the third initial evaluation score and the fourth initial evaluation score of the observation position to be evaluated, it can be based on The first initial evaluation score, the second initial evaluation score, the third initial evaluation score, and the fourth initial evaluation score are calculated to obtain a final quality score corresponding to the observation position to be evaluated. The specific calculation method can refer to the following formula (1).

Final score = (①+④)*②*③ Formula (1)

Among them, the final score is the final quality score, ① is the first initial assessment score, ④ is the fourth initial assessment score, ② is the second initial assessment score, and ③ is the third initial assessment score.

It should be noted that the algorithm can be dynamically adjusted according to the requirements of the actual application for the score of the camera position quality (final score), so as to calculate the quality score that meets the actual needs. The quality evaluation strategy for the camera position and the number of the quality evaluation strategies can also be set according to the actual application scenario, which is not specifically limited in this manual.

In an embodiment provided in this specification, in the process of selecting the optimal seat from multiple seats through the final quality score, the preset seat with the highest final quality score will be used as the current optimal seat; but if Finally, the maximum final quality score calculated is at least two, that is to say, there are at least two preset camera positions with the same final quality score and the largest, then one needs to be selected from the at least two preset camera positions As the final optimal seat, specifically, the quality evaluation result is a quality evaluation score;

Correspondingly, the determining an updated observation location from the at least two preset observation locations based on the quality evaluation result includes:

determining a maximum quality assessment score from the quality assessment scores of the at least two preset observation positions;

When the maximum quality assessment score is one, determining the preset observation position corresponding to the maximum quality assessment score as an updated observation position;

In a case where the maximum quality evaluation score is at least two, an updated observation position is determined from the preset observation positions corresponding to at least two of the maximum quality evaluation scores.

Using the above example, after calculating the final quality score of each preset camera position through the method provided in the above embodiment, it is necessary to select the largest final quality score from the final quality scores of each preset camera position. In the case that the maximum final quality score is one, the preset position corresponding to the final quality score is directly used as the optimal position; based on this, it is realized that the observation camera can be quickly determined based on the quality evaluation score The observation position is updated to further improve the transfer efficiency of the observation camera.

However, when the maximum final quality score is at least two, it means that there are currently multiple preset camera positions with better quality, so it is necessary to determine the preset camera position corresponding to each maximum final quality score, And determine an optimal camera position for the game camera from the preset camera positions; based on this, it is ensured that the observation object can observe the target object with high quality.

However, in an embodiment provided in this specification, if it is finally calculated that the quality evaluation scores of at least two preset positions are the same and both are the maximum quality evaluation scores, then it can be randomly selected from at least two preset positions Any camera position is used as the optimal camera position, so as to quickly determine an optimal camera position for the camera; specifically, the update is determined from the preset observation positions corresponding to at least two of the maximum quality evaluation scores. Observation locations, including:

From the at least two preset observation positions corresponding to the maximum quality evaluation scores, any one of the preset observation positions is selected as an updated observation position.

Following the above example, in the object observation method provided in this manual, when the maximum final quality score is two, it is necessary to determine the preset camera location corresponding to each final quality score, and from the multiple preset Among the camera positions, a preset camera position is arbitrarily selected as the optimal camera position of the camera; based on this, based on this embodiment, the selection efficiency of updating the observation position is improved, and the transfer efficiency of the observation camera is further improved, thereby achieving the goal High-quality observations of objects.

Further, in an embodiment provided in this specification, if the final calculated quality evaluation score is at least two, it means that there are at least two preset observation positions that can be determined as updated observation positions. In this case, for If the optimal observation position is determined for the observation camera, other screening conditions can be added to filter again for the at least two preset observation positions, so as to ensure that the highest quality observation position is determined for the observation camera; and the other screening conditions Conditions may be set according to actual application scenarios, and this specification does not specifically limit this. For example, in an embodiment provided in this specification, if there are at least two quality evaluation scores, the movement track of the target object can be calculated, and the preset observation position corresponding to the at least two quality evaluation scores can be determined, distance from the moving track, and use the preset observation position closest to the moving track of the target object as an updated observation position; In the preset observation position, determine the updated observation position, including:

using at least two of the preset observation positions corresponding to the maximum quality evaluation scores as candidate observation positions;

Predicting the moving track of the target object, and calculating the distance between the candidate observation position and the moving track;

A minimum separation distance among the separation distances is determined, and a candidate observation position corresponding to the minimum separation distance is used as an updated observation position.

Wherein, the candidate observation positions can be understood as the preset observation positions with the same quality evaluation score and the largest.

The moving trajectory can be understood as the trajectory that the target object moves within a specific time range. For example, the route that the game pet moves within the next 10 seconds; or the movement track can be understood as the track of the target object moving a specific distance, for example, the next 10-meter route that the game pet moves. Wherein, the specific time range and the specific distance can be set according to actual application scenarios.

In the embodiments provided in this specification, predicting the movement trajectory of the target object may be understood as predicting the movement trajectory of the target object within a specific time range or within a specific distance in the future. The prediction of the movement trajectory can be realized by tools such as neural network models, algorithms, programs, etc. that can predict the movement trajectory of the target object; The next moving track of the target object; or, predicting and analyzing the historical moving track of the target object through an algorithm, so as to predict the next moving track of the target object.

Specifically, in the object observation method provided in this specification, when the maximum quality evaluation score is determined to be at least two, the preset observation position corresponding to the at least two maximum quality evaluation scores will be determined, and it will be used as a candidate observation position. Filter again.

Afterwards, the next moving track of the target object is predicted, and the distance between the candidate observation position and the moving track is calculated. It should be noted that, in the embodiments provided in this specification, the movement track is composed of at least two movement track points, which can be understood as the coordinate points that the target object passes through when moving in the game scene. Based on this, the calculation method of the separation distance may include: calculating the separation distance between each moving track point and the candidate observation position, and using the minimum separation distance in the separation distance as the separation distance between the candidate observation position and the movement track . Alternatively, the calculation method of the separation distance may also include: calculating the separation distance between each moving track point and the candidate observation position, and averaging the separation distance, and calculating the average distance between the candidate observation position and the movement track point Separation distance, the average separation distance is used as the separation distance between the candidate observation position and the movement track.

After determining the separation distance between the candidate observation position and the movement trajectory, a minimum separation distance is selected from the separation distance, and the candidate observation position corresponding to the minimum separation distance is used as an updated observation position.

Following the above example, the object observation method provided in this manual will determine the preset camera position A and preset camera position B corresponding to the two largest final quality scores when the maximum final quality score is determined to be two ; Then predict the next moving track of the game pet, and calculate the distance between the preset position A and the preset position B, and the moving track of the game pet; the game pet can be determined by the size of the distance The moving direction of the pet; for example, when the game pet moves towards the preset camera position A, the distance (5 meters) between the game pet and the preset camera position A is smaller than the game pet and the preset camera position B The separation distance between them (10 meters); and vice versa. Based on this, after determining the distance between the preset machine position A and the preset machine position B, and the moving track of the game pet, select the minimum distance (5 meters) from the distance, and set the minimum distance The corresponding preset position A is used as the optimal position of the camera.

In this embodiment, when the current quality evaluation scores of the preset observation position A and the preset observation position B are the same and both are the largest, the prediction of the moving route of the target object is added. When the target object is predicted to go to When the preset observation position A moves in the direction, it is determined that the time and scope of shooting the target object at the preset observation position A may be longer, so the preset observation position A can be preferred as the updated observation position, so that the predicted movement route can be obtained from the same score according to the predicted movement route. In the set observation position, select the preset observation position that can shoot the target object for the longest time.

Step 206: Transfer the observation camera from the current observation position to the updated observation position to observe the target object.

Specifically, after the updated observation position is determined, the observation position is set to the updated observation position to realize the transfer of the observation camera from the current observation position to the updated observation position, and then through the observation camera located at the updated observation position, the target within the field of view The object conducts observations and displays the observation results to the object display interface of the client.

In an embodiment provided by this specification, considering that frequently changing the observation position of the observation camera will result in constant changes in the observation angle of the target object, resulting in a bad game experience for the user, therefore, after the position switching of the game camera is completed, After waiting for a preset time, the updated observation position will be fixed, and the target object will be observed based on the observation camera at the fixed position. Specifically, the observation camera will be transferred from the current observation position to the Observing the target object at the above updated observation position, including:

Transferring the observation camera from the current observation position to the updated observation position, and recording the position transfer time;

Fixing the updated observation position when determining that the time difference between the position transfer time and the current time satisfies a preset time threshold;

The target object is observed by the observation camera located at the updated observation position.

Wherein, the position transfer time can be understood as the time when the observation camera is transferred to the updated observation position. The preset time threshold can be set according to actual application scenarios, for example, 1 second, 2 seconds, 5 seconds, and so on. In addition, in practical applications, the preset time threshold can also be 0 seconds; that is to say, the object observation method provided in this manual can directly transfer the observation camera to the updated observation position after determining the updated observation position. Location.

Using the above example, the object observation method provided in this manual will transfer the game camera to the optimal camera position after determining the optimal camera position, and take pictures of the target game pet. At this time, the camera position will follow the target game pet to move.

During the process of transferring the game camera to the optimal position, the camera transfer time will be recorded, and the time difference between the camera transfer time and the current time will be continuously calculated, and the time difference will be compared with the preset time threshold (such as 2 seconds) for comparison, and when the time difference is greater than or equal to 2 seconds, the optimal camera position following the movement of the target game pet is fixed in place; based on the game camera on the fixed optimal camera position, the Target game pets for shooting. This reduces camera motion sickness by keeping each camera position in place after it stabilizes.

In the embodiment provided in this specification, after transferring the observation camera from the current observation position to the updated observation position to observe the target object, it further includes:

Determining the current observation position as a preset observation position, wherein the preset observation positions are distributed around the target object, keep a preset distance from the target object, and follow the movement of the target object .

Following the above example, after the game camera is transferred to the position with the best quality, the position where the game camera was previously located will be reset, and this position will be used as the default position again, and the preset position will be performed later. As the bit is evaluated, it is evaluated for quality.

The object observation method provided in this specification pre-sets at least two preset observation positions for the target object, and when the observation camera for the target object is determined, and the current observation state of the current observation position satisfies the update condition, from the at least Select one of the two preset observation positions to update the observation position, and transfer the observation camera to the updated observation position to observe the target object, so as to flexibly adjust the observation angle and observation position of the observation camera, avoiding the The problem that the target object cannot be displayed to the game player due to the occlusion of the observation camera has improved the game experience of the game player.

The following describes the object observation method further by taking the application of the object observation method provided in this specification in a game scene as an example in conjunction with FIG. 4 . Wherein, FIG. 4 shows a flowchart of a processing process of an object observation method provided by an embodiment of the present specification, which specifically includes the following steps.

Step 402: Check the distance between the camera and the target object, and the shooting status of the camera.

Wherein, the camera can be understood as the observation camera mentioned above.

Step 404: When the distance is too short, the distance is too far, or the camera lens is blocked, determine multiple preset camera positions of the target object.

It should be noted that the preset camera positions all look at the target object, and by default, the coordinates of the preset camera move along with the target object.

Step 406: Select an optimal camera position with the highest quality score from multiple preset camera positions, and set the camera position to the optimal camera position.

Specifically, for selecting an optimal camera position with the highest quality score from multiple preset camera positions, refer to the corresponding or corresponding content in the foregoing embodiments.

Step 408: The other camera positions perform a homing operation, and the optimal camera position and other camera positions follow the movement of the target object.

Step 410: After the camera is set for more than N seconds, fix the position of the current optimal camera position, and shoot at the position of the target object.

And continue to check the distance between the camera and the target object, as well as the shooting status of the camera, and iteratively adjust the optimal camera position.

The object observation method provided in this manual provides a game camera design scheme for multi-camera switching. Through this scheme, unsuitable camera positions are screened out from multiple preset camera positions, and one with the best quality is selected for the game camera. Moreover, when the camera position is switched, the previous position and angle will be maintained as much as possible to ensure the stability of the camera and reduce the dizziness caused by switching the camera position. At the same time, after the optimal camera position is stabilized, it will be kept in place, reducing the dizziness caused by camera movement.

Corresponding to the foregoing method embodiments, this specification also provides an embodiment of an object observation device. FIG. 5 shows a schematic structural diagram of an object observation device provided by an embodiment of this specification. As shown in Figure 5, the device includes:

A state determination module 502, configured to determine the current observation state of the observation camera of the target object at the current observation position;

The position evaluation module 504 is configured to evaluate at least two preset observation positions of the target object to obtain an updated observation position when it is determined that the current observation state satisfies the update condition, wherein the updated observation position being one of the at least two preset observation positions;

The camera transfer module 506 is configured to transfer the observation camera from the current observation position to the updated observation position to observe the target object.

Optionally, the location assessment module 504 is further configured to:

determining at least two preset observation positions of the target object, and performing quality assessment on the at least two preset observation positions, and obtaining quality assessment results of the at least two preset observation positions;

Based on the quality assessment result, an updated observation location is determined from the at least two preset observation locations.

Optionally, the location assessment module 504 is further configured to:

determining an observation position to be evaluated among the at least two preset observation positions, wherein the observation position to be evaluated is one of the at least two preset observation positions;

Performing quality assessment on the observation location to be evaluated based on at least two quality assessment strategies, and obtaining at least two initial evaluation results corresponding to the observation location to be evaluated;

Based on the at least two initial evaluation results, quality evaluation results of the at least two preset observation positions are determined.

Optionally, the location assessment module 504 is further configured to:

Evaluating the observation location to be evaluated based on the location information of the target object, to obtain a first initial evaluation result;

Evaluate the current observation state corresponding to the observation position to be evaluated, and obtain a second initial evaluation result;

Evaluating the observation position to be evaluated based on the current observation position of the observation camera to obtain a third initial evaluation result;

Evaluating the observation location to be evaluated based on an observation angle between the current observation location and the observation location to be evaluated, to obtain a fourth initial evaluation result;

The first initial evaluation result, the second initial evaluation result, the third initial evaluation result, and the fourth initial evaluation result are used as at least two initial evaluation results corresponding to the observation positions to be evaluated.

Optionally, the location assessment module 504 is further configured to:

determining the separation distance between the location information of the target object and the observation location to be evaluated;

An evaluation result matching the separation distance is determined based on a first preset result matching rule, and the evaluation result is determined as a first initial evaluation result of the observation position to be evaluated.

Optionally, the location assessment module 504 is further configured to:

determining a current observation state of the observation location to be evaluated based on an obstacle object between the observation location to be evaluated and the target object;

Based on the current observation state, a second initial evaluation result of the observation location to be evaluated is determined.

Optionally, the location assessment module 504 is further configured to:

determining the separation distance between the current observation position of the observation camera and the observation position to be evaluated;

An evaluation result matching the separation distance is determined based on a second preset result matching rule, and the evaluation result is determined as a third initial evaluation result of the observation position to be evaluated.

Optionally, the location assessment module 504 is further configured to:

determining the position information of the target object, and determining a first observation vector of the observation position to be evaluated with respect to the position information, and a second observation vector of the current observation position with respect to the position information;

determining an observation angle between the current observation position and the observation position to be evaluated based on the first observation vector and the second observation vector;

Based on the observation angle, a fourth initial evaluation result of the observation position to be evaluated is determined.

Optionally, the initial evaluation result is an initial evaluation score;

Correspondingly, the location assessment module 504 is further configured to:

Based on at least two initial evaluation scores, the quality evaluation scores of the at least two preset observation positions are calculated.

Optionally, the quality assessment result is a quality assessment score;

Correspondingly, the location assessment module 504 is further configured to:

determining a maximum quality assessment score from the quality assessment scores of the at least two preset observation positions;

When the maximum quality assessment score is one, determining the preset observation position corresponding to the maximum quality assessment score as an updated observation position;

In a case where the maximum quality evaluation score is at least two, an updated observation position is determined from the preset observation positions corresponding to at least two of the maximum quality evaluation scores.

Optionally, the location assessment module 504 is further configured to:

using at least two of the preset observation positions corresponding to the maximum quality evaluation scores as candidate observation positions;

Predicting the moving track of the target object, and calculating the distance between the candidate observation position and the moving track;

A minimum separation distance among the separation distances is determined, and a candidate observation position corresponding to the minimum separation distance is used as an updated observation position.

Optionally, the camera transfer module 506 is further configured to:

Transferring the observation camera from the current observation position to the updated observation position, and recording the position transfer time;

Fixing the updated observation position when determining that the time difference between the position transfer time and the current time satisfies a preset time threshold;

The target object is observed by the observation camera located at the updated observation position.

Optionally, the object observation device further includes a position determination module configured to:

Determining the current observation position as a preset observation position, wherein the preset observation positions are distributed around the target object, keep a preset distance from the target object, and follow the movement of the target object .

The object observation device provided in the embodiment of this specification pre-sets at least two preset observation positions for the target object, and after determining the observation camera for the target object, when the current observation state of the current observation position satisfies the update condition, Select an updated observation position from the at least two preset observation positions, and transfer the observation camera to the updated observation position to observe the target object, thereby flexibly adjusting the observation angle and observation position of the observation camera , to avoid the problem that the target object cannot be displayed to the game player due to the occlusion of the observation camera, and improve the game player's gaming experience.

The foregoing is a schematic solution of an object observation device in this embodiment. It should be noted that the technical solution of the object observation device and the above-mentioned technical solution of the object observation method belong to the same concept, and the details of the technical solution of the object observation device that are not described in detail can be found in the description of the technical solution of the above-mentioned object observation method .

FIG. 6 shows a structural block diagram of a computing device 600 provided according to an embodiment of this specification. Components of the computing device 600 include, but are not limited to, memory 610 and processor 620 . The processor 620 is connected to the memory 610 through the bus 630, and the database 650 is used for storing data.

Computing device 600 also includes an access device 640 that enables computing device 600 to communicate via one or more networks 660 . Examples of these networks include the Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or a combination of communication networks such as the Internet. Access device 640 may include one or more of any type of network interface (e.g., a network interface card (NIC)), wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, Worldwide Interoperability for Microwave Access ( Wi-MAX) interface, Ethernet interface, Universal Serial Bus (USB) interface, cellular network interface, Bluetooth interface, Near Field Communication (NFC) interface, etc.

In an embodiment of the present specification, the above-mentioned components of the computing device 600 and other components not shown in FIG. 6 may also be connected to each other, for example, through a bus. It should be understood that the structural block diagram of the computing device shown in FIG. 6 is only for the purpose of illustration, rather than limiting the scope of this description. Those skilled in the art can add or replace other components as needed.

Computing device 600 may be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile telephones (e.g., smartphones), ), wearable computing devices (eg, smart watches, smart glasses, etc.), or other types of mobile devices, or stationary computing devices such as desktop computers or PCs. Computing device 600 may also be a mobile or stationary server.

Wherein, the processor 620 is configured to execute the following computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above object observation method are implemented.

The foregoing is a schematic solution of a computing device in this embodiment. It should be noted that the technical solution of the computing device and the technical solution of the above-mentioned object observation method belong to the same concept, and details not described in detail in the technical solution of the computing device can refer to the description of the technical solution of the above-mentioned object observation method.

An embodiment of the present specification also provides a computer-readable storage medium, which stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps of the above object observation method are implemented.

The foregoing is a schematic solution of a computer-readable storage medium in this embodiment. It should be noted that the technical solution of the storage medium and the above-mentioned technical solution of the object observation method belong to the same concept, and details not described in detail in the technical solution of the storage medium can be found in the description of the above-mentioned technical solution of the object observation method.

An embodiment of the present specification also provides a computer program, wherein, when the computer program is executed in a computer, the computer is made to execute the steps of the above object observation method.

The foregoing is a schematic solution of a computer program in this embodiment. It should be noted that the technical solution of the computer program belongs to the same concept as the technical solution of the above-mentioned object observation method, and details not described in detail in the technical solution of the computer program can be found in the description of the above-mentioned technical solution of the object observation method.

The foregoing describes specific embodiments of this specification. Other implementations are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. Multitasking and parallel processing are also possible or may be advantageous in certain embodiments.

The computer instructions include computer program code, which may be in source code form, object code form, executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) , random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excludes electrical carrier signals and telecommunication signals.

It should be noted that, for the sake of simplicity of description, the above-mentioned method embodiments are expressed as a series of action combinations, but those skilled in the art should know that the embodiments of this specification are not limited by the described action sequence. Because according to the embodiment of the present specification, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of the specification.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

The preferred embodiments of the present specification disclosed above are only for helping to explain the present specification. Alternative embodiments are not exhaustive in all detail, nor are the inventions limited to specific implementations described. Obviously, many modifications and changes can be made according to the contents of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can well understand and use this specification. This specification is to be limited only by the claims, along with their full scope and equivalents.

Claims (16)

1. An object observation method, characterized in that, comprising: Determine the current observation status of the observation camera of the target object at the current observation position; When it is determined that the current observation state satisfies the update condition, at least two preset observation positions of the target object are evaluated to obtain an updated observation position, wherein the updated observation position is the at least two preset observation positions one of the observation positions; The observation camera is transferred from the current observation position to the updated observation position to observe the target object. 2. The object observation method according to claim 1, wherein the evaluating at least two preset observation positions of the target object to obtain an updated observation position comprises: determining at least two preset observation positions of the target object, and performing quality assessment on the at least two preset observation positions, and obtaining quality assessment results of the at least two preset observation positions; Based on the quality assessment result, an updated observation location is determined from the at least two preset observation locations. 3. The object observation method according to claim 2, wherein said performing quality assessment on said at least two preset observation positions and obtaining the quality assessment results of said at least two preset observation positions comprises: determining an observation position to be evaluated among the at least two preset observation positions, wherein the observation position to be evaluated is one of the at least two preset observation positions; Performing quality assessment on the observation location to be evaluated based on at least two quality assessment strategies, and obtaining at least two initial evaluation results corresponding to the observation location to be evaluated; Based on the at least two initial evaluation results, quality evaluation results of the at least two preset observation positions are determined. 4. The object observation method according to claim 3, characterized in that, based on at least two quality assessment strategies, the quality of the observation position to be evaluated is evaluated, and at least two corresponding to the observation position to be evaluated are obtained. Initial assessment results, including: Evaluating the observation location to be evaluated based on the location information of the target object, to obtain a first initial evaluation result; Evaluate the current observation state corresponding to the observation position to be evaluated, and obtain a second initial evaluation result; Evaluating the observation position to be evaluated based on the current observation position of the observation camera to obtain a third initial evaluation result; Evaluating the observation location to be evaluated based on an observation angle between the current observation location and the observation location to be evaluated, to obtain a fourth initial evaluation result; The first initial evaluation result, the second initial evaluation result, the third initial evaluation result, and the fourth initial evaluation result are used as at least two initial evaluation results corresponding to the observation positions to be evaluated. 5. The object observation method according to claim 4, wherein the evaluation of the observation position to be evaluated based on the position information of the target object to obtain a first initial evaluation result comprises: determining the separation distance between the location information of the target object and the observation location to be evaluated; An evaluation result matching the separation distance is determined based on a first preset result matching rule, and the evaluation result is determined as a first initial evaluation result of the observation position to be evaluated. 6. The object observation method according to claim 4, wherein the evaluation of the current observation state corresponding to the observation position to be evaluated to obtain a second initial evaluation result comprises: determining a current observation state of the observation location to be evaluated based on an obstacle object between the observation location to be evaluated and the target object; Based on the current observation state, a second initial evaluation result of the observation location to be evaluated is determined. 7. The object observation method according to claim 4, wherein the evaluation of the observation position to be evaluated based on the current observation position of the observation camera to obtain a third initial evaluation result comprises: determining the separation distance between the current observation position of the observation camera and the observation position to be evaluated; An evaluation result matching the separation distance is determined based on a second preset result matching rule, and the evaluation result is determined as a third initial evaluation result of the observation position to be evaluated. 8. The object observation method according to claim 4, wherein, based on the observation angle between the current observation position and the observation position to be evaluated, the observation position to be evaluated is evaluated to obtain the second Four initial assessment results, including: determining the position information of the target object, and determining a first observation vector of the observation position to be evaluated with respect to the position information, and a second observation vector of the current observation position with respect to the position information; determining an observation angle between the current observation position and the observation position to be evaluated based on the first observation vector and the second observation vector; Based on the observation angle, a fourth initial evaluation result of the observation position to be evaluated is determined. 9. The object observation method according to claim 3, wherein the initial evaluation result is an initial evaluation score; Correspondingly, the determining the quality evaluation results of the at least two preset observation positions based on the at least two initial evaluation results includes: Based on at least two initial evaluation scores, the quality evaluation scores of the at least two preset observation positions are calculated. 10. The object observation method according to claim 2, wherein the quality assessment result is a quality assessment score; Correspondingly, the determining an updated observation location from the at least two preset observation locations based on the quality evaluation result includes: determining a maximum quality assessment score from the quality assessment scores of the at least two preset observation positions; When the maximum quality assessment score is one, determining the preset observation position corresponding to the maximum quality assessment score as an updated observation position; In a case where the maximum quality evaluation score is at least two, an updated observation position is determined from the preset observation positions corresponding to at least two of the maximum quality evaluation scores. 11. The object observation method according to claim 10, wherein the determining an updated observation location from at least two of the preset observation locations corresponding to the maximum quality evaluation scores comprises: using at least two of the preset observation positions corresponding to the maximum quality evaluation scores as candidate observation positions; Predicting the moving track of the target object, and calculating the distance between the candidate observation position and the moving track; A minimum separation distance among the separation distances is determined, and a candidate observation position corresponding to the minimum separation distance is used as an updated observation position. 12. The object observation method according to claim 1, wherein the transferring the observation camera from the current observation position to the updated observation position to observe the target object comprises: Transferring the observation camera from the current observation position to the updated observation position, and recording the position transfer time; Fixing the updated observation position when determining that the time difference between the position transfer time and the current time satisfies a preset time threshold; The target object is observed by the observation camera located at the updated observation position. 13. The object observation method according to claim 1, wherein, after transferring the observation camera from the current observation position to the updated observation position to observe the target object, further comprising: Determining the current observation position as a preset observation position, wherein the preset observation positions are distributed around the target object, keep a preset distance from the target object, and follow the movement of the target object . 14. An object observation device, characterized in that it comprises: A state determination module configured to determine the current observation state of the observation camera of the target object at the current observation position; The position evaluation module is configured to evaluate at least two preset observation positions of the target object to obtain an updated observation position when it is determined that the current observation state satisfies the update condition, wherein the updated observation position is one of the at least two preset observation positions; The camera transfer module is configured to transfer the observation camera from the current observation position to the updated observation position to observe the target object. 15. A computing device comprising: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the object observation method described in any one of claims 1 to 13 are implemented. . 16. A computer-readable storage medium, which stores computer-executable instructions, and implements the steps of the object observation method according to any one of claims 1-13 when the computer-executable instructions are executed by a processor.

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