CN106303390B - Image acquisition method and device, and image transmission method and device - Google Patents
Image acquisition method and device, and image transmission method and device Download PDFInfo
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Abstract
The embodiment of the invention provides an image acquisition method and device and an image transmission method and device. The image acquisition method comprises the following steps: receiving a first image, wherein the first image comprises a tracking target object; acquiring a second image; performing image recognition on the second image based on the first image and the second image; and when the second image contains the tracking target object, transmitting the second image. Through the scheme provided by the embodiment of the invention, the cooperative work of a plurality of monitoring devices can be realized to track and process the suspicious target. The invention effectively utilizes the network bandwidth, reduces the network bandwidth pressure and avoids the waste of the power consumption of network equipment.
Description
Technical Field
The invention relates to an image acquisition method and an image acquisition device applied to electronic equipment, and an image transmission method and an image transmission device applied to a server.
Background
At present, network monitoring systems are widely used, for example, in more important traffic intersections or public places, monitoring devices such as one or more cameras are installed to monitor the surrounding environment in real time. If necessary, the acquired images can be analyzed and identified to process abnormal conditions in time.
However, in most cases, the target objects are moving objects and are not always kept in the field of view of one camera, and if images acquired by all cameras in one area are transmitted and identified, the workload of image processing is inevitably increased, and the shortage of transmission bandwidth and the waste of power consumption are also caused. It is crucial how to efficiently utilize the limited bandwidth and power.
Disclosure of Invention
An embodiment of the present invention provides an image capturing method and an image capturing apparatus applied to an electronic device, and an image transmitting method and an image transmitting apparatus applied to a server, so as to solve the above technical problems.
The embodiment of the invention provides an image acquisition method, which is applied to electronic equipment and comprises the following steps: receiving a first image, wherein the first image comprises a tracking target object; acquiring a second image; performing image recognition on the second image based on the first image and the second image; and when the second image contains the tracking target object, transmitting the second image.
Another embodiment of the present invention provides an image transmission method applied to a server, where the server is connected to a plurality of terminal devices in a network, and the image transmission method includes: receiving a high resolution image; transcoding the high resolution image into a low resolution image; the low resolution image is transmitted to a terminal device in the network.
Another embodiment of the present invention provides an image capturing apparatus applied to an electronic device, the apparatus including: the first image receiving unit is used for receiving a first image, and the first image comprises a tracking target object; the second image acquisition unit is used for acquiring a second image; an identification unit configured to perform image identification on the second image based on the first image and the second image; and a second image transmitting unit for transmitting the second image when the tracking target object is included in the second image.
Another embodiment of the present invention provides an image transmission apparatus applied to a server, the server being connected to a plurality of terminal devices in a network, the apparatus including: a receiving unit for receiving a high resolution image; a transcoding unit for transcoding the high resolution image into a low resolution image; and the sending unit is used for sending the low-resolution image to the terminal equipment in the network.
Through the scheme provided by the embodiment of the invention, the cooperative work of a plurality of monitoring devices can be realized to track and process the suspicious target. Moreover, because the electronic equipment selectively identifies and transmits the collected images, the network bandwidth can be effectively utilized, the network bandwidth pressure is reduced, and the waste of the power consumption of the network equipment is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. The drawings in the following description are merely exemplary embodiments of the invention.
Fig. 1 is a flowchart of an image acquisition method according to a first embodiment of the present invention.
Fig. 2 is a flowchart of an image transmission method according to a second embodiment of the present invention.
Fig. 3 is an exemplary frame diagram of an image pickup apparatus according to a third embodiment of the present invention.
Fig. 4 is an exemplary frame diagram of an image pickup apparatus according to a fourth embodiment of the present invention.
Fig. 5 is a schematic view of the positional relationship of the view angle of the camera.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Note that in the present specification and the drawings, steps and elements having substantially the same structure are denoted by the same reference numerals, and repeated explanation of the steps and elements will be omitted.
In the following embodiments of the present invention, an electronic device refers to a device capable of communicating with other devices. The specific form of the electronic device includes, but is not limited to, a network camera, a camera or other terminal device having an image acquisition function, an image processing function and an image transmission function.
FIG. 1 depicts a flow diagram of an image acquisition method 100 according to one embodiment of the invention. An image acquisition method of an embodiment of the present invention will be described below with reference to fig. 1. The image acquisition method 100 may be applied to the electronic device described above, which may be configured to acquire, process, and transmit images.
As shown in fig. 1, in step S101, a first image is received, and the first image includes a tracking target object. According to an example of embodiment of the present invention, the electronic device may be plural. For example, the electronic device may be a plurality of cameras distributed at different locations. The plurality of cameras may be connected to each other through a wired or wireless network. For example, through an ad hoc network. In addition, the position of each camera may be fixed or movable, that is, the network topology may be fixed or variable. In addition, each camera can share pictures or videos acquired in real time to other cameras through a network. For example, the video stream may be forwarded to other cameras through the server, or may be sent directly to other cameras. Correspondingly, each camera may also receive the first image from the other cameras. For example, the first image forwarded by the server may be received, or the first image may be directly received from another camera. According to one example of the invention, multiple cameras may work in concert to track a moving target object together. When the first image acquired by one camera contains the target object, the first images received by the other cameras also contain the target tracking object.
In step S102, a second image is acquired. According to an example of embodiment of the present invention, the camera acquires the second image in real time after being turned on. In this case, the acquisition may be performed in a low resolution mode or in a high resolution mode. Alternatively, the camera may automatically switch between the high resolution acquisition mode and the low resolution acquisition mode as needed. Switching between the high resolution acquisition mode and the low resolution acquisition mode may also be performed in accordance with instructions from a server or other electronic device.
Although the image capturing method is described in fig. 1 in that the receiving of the first image in S101 is performed first, and then the capturing of the second image in S102 is performed. However, those skilled in the art will appreciate that the embodiments of the present invention are not limited thereto, and for example, in the image capturing method, the current camera may simultaneously implement the functions of capturing images and receiving images from other devices. Optionally, in the image capturing method, the current camera may capture an image after being turned on, and then receive images sent by other cameras. And so on.
According to one embodiment of the invention, when the camera does not find that an abnormal object or event exists in the acquired image, and does not receive an instruction sent by a server or other cameras for starting to the high-definition acquisition mode, the second image can be acquired in the low-resolution mode, so that the power consumption and the storage space of the camera are saved. And the camera may switch the acquisition mode from the low resolution mode to the high resolution mode when necessary. For example, the camera may switch from the low resolution mode to the high resolution mode when it receives an activation signal from a server or other camera. Alternatively, when the camera captures a predetermined target object or captures a suspicious object or a suspicious event, it may employ a high resolution acquisition mode to perform image acquisition with better image quality, thereby facilitating image analysis and identification.
In step S103, image recognition is performed on the second image based on the first image and the second image. According to one example of the invention, each camera may send its position information, perspective information, etc. to other cameras in the network. Also, position information, view angle information, and the like of other electronic devices may be acquired from the other electronic devices through a network. For example, cameras can share their respective position and view information by broadcasting, so that each camera can quickly estimate the network topology to determine cameras with overlapping views. Wherein, the position information may include: geographic coordinates, azimuth, optical parameters of the image acquisition unit. According to an example of embodiment of the present invention, the neighboring cameras may be, for example, cameras having overlapping viewing angles with the current camera. That is, images captured by two cameras with overlapping perspectives have overlapping scenes. There may be one or more adjacent cameras. See, for example, fig. 5, where there is overlap in the view angles of cameras A, B, C. Camera A, B, C is a camera whose view angles do not overlap with those of D.
According to an example of the present invention, before step S103, it may be determined in advance or directly acquired whether there is a camera whose view angle overlaps between a plurality of cameras. For example, the server or the cameras themselves may store the overlapping view angle relationship in advance according to the position and the view angle of each camera, and send the overlapping view angle relationship to each camera for storage. When the position of the camera changes, the server or the camera can judge the information of the view angle overlapping again according to the changed position information and view angle information, and update the stored view angle overlapping relation. In the embodiment of the invention, whether overlapping scenes exist among a plurality of cameras can be judged according to the visual angles of the cameras, and whether overlapping scenes exist among the cameras can also be judged by identifying images collected by each camera.
When the first image acquired by the adjacent camera contains the target tracking object and the current camera and the adjacent camera are cameras with overlapped view angles, the target tracking object in the first image is predicted to possibly move into the shooting range of the current camera. Therefore, at this time, the target tracking function is started for the current camera according to the switching instruction generated by the current camera or the switching instruction received from the server and the nearby camera. Meanwhile, the acquisition mode of the current camera is switched from the low resolution mode to the high resolution mode, and image recognition of the second image acquired by the current camera is started to track the target tracking object.
In addition, according to an example of the present invention, if there is an overlapping scene between the image taken by the current camera and the first image, the target tracking function is started. For example, the current camera may compare the second image acquired by the current camera with the first image received from the server, determine whether the two images have overlapping scenes, and start the target tracking function when the determination result is "yes". And if the judgment result is no, the target tracking function does not need to be started, so that the waste of resources is reduced.
According to an example of the embodiment of the present invention, after the current camera starts the target tracking function, the current camera performs image recognition on the acquired image. Before identification, first, feature description information of a tracking target object is acquired. Here, there are various ways to acquire the feature description information of the tracking target object, for example, the description information may be transmitted from a server to a camera, and the camera receives the description information from the server; or the adjacent camera sends the current camera to receive the current camera from the adjacent camera; it may be that the current camera is further extracted from the first image received by the neighboring camera. Then, the present camera compares the acquired second image with the feature description information of a predetermined tracking target object, and determines whether the tracking target object is captured according to the comparison result.
In step S104, when the tracking target object is included in the second image, the second image is transmitted. According to an example of the embodiment of the present invention, after the second image is subjected to image recognition, when it is determined that the second image includes the tracking target object, the second image may be sent to the server through the network, so that the server may perform comprehensive management and analysis in combination with the images of the tracking target object captured by the cameras. In addition, the camera can upload the position information of the camera and the tracking result information of the target object to the server while uploading a high-definition image to the server, so that the server can perform comprehensive judgment and processing by combining the information. It has already been mentioned in step S103 that before the acquired second image needs to be recognized, the high resolution recognition mode is turned on and the acquisition of the second image is performed in the high resolution mode. Also in this step S104, the second image transmitted to the server is a high-resolution image. In order to increase the image transmission rate and avoid bandwidth limitation, according to one example of the present invention, the high resolution image may be transmitted using a high frequency channel in a mobile communication network, and the low resolution image may be transmitted using a low frequency channel in the mobile communication network. For example, a high frequency channel may transmit information at high speed through a small cell, and a low frequency channel may broadcast information at low speed through a macro cell.
Although it is mentioned in the above example, when the tracking target object is contained in the second image, the current camera transmits the second image to the server. For example, the current camera may send all images acquired after the target tracking function is turned on to the server according to the need or the instruction of the server. The image collected when the target tracking function is not started, that is, any image collected at ordinary times, can be sent to the server according to the need or the instruction of the server. Of course, alternatively, the image acquired when the target tracking function is not turned on may be acquired in a low resolution mode and sent to the server through the low frequency channel.
In the embodiment of the invention, the electronic equipment selectively starts the target tracking function through the first image received from other equipment and the second image acquired by the electronic equipment, and uploads the image to the server so as to realize the cooperative tracking of the target object by multiple equipment. Because the electronic equipment selectively uploads the images to the server, the network transmission flow is effectively controlled, and the multi-camera cooperative tracking efficiency is improved.
The above describes the image capturing method applied to the electronic device according to the first embodiment of the present invention, and as described above, the electronic device transmits the high-resolution image to the server through the network to comprehensively manage and analyze the image. The image transmission and processing method at the server side will be described below. This method corresponds to the image capturing method of the electronic device according to the first embodiment of the present invention, and thus will be described only briefly.
Fig. 2 depicts a flow diagram of an image transmission method 200 according to a second embodiment of the invention. An image transmission method 200 of two embodiments of the present invention will be described below with reference to fig. 2. The image transmission method 200 may be applied to a server connected to a plurality of electronic devices in a network, and the server may be configured to receive information from the terminal device through a wired or wireless network and transmit the information to the electronic devices, and may also display and process the received image or other information.
As shown in fig. 2, in step S201, a high resolution image is received. According to one example of the invention, a server receives a high resolution image from a camera. These images may be images containing target tracked objects. Alternatively, the image may be an image that does not include the tracking target object. The server may receive the high resolution image using a high frequency channel in a mobile communication network. For example, the information transmitted by the camera may be received by a small cell in the mobile communication network.
According to an example of the present invention, the server may store a plurality of received high resolution image files as a target file in sequence, so as to analyze the motion trajectory of the tracking target and further determine the possible motion direction thereof. In this way, after the possible movement direction of the target object is determined, the server can also instruct the cameras at the corresponding positions to start a target tracking function so as to identify and track the target. The accuracy and the efficiency of positioning and tracking are improved.
In step S202, the high resolution image is transcoded into a low resolution image. In step S203, the low resolution image is transmitted to the terminal device in the network. According to an example of the present invention, when a high-resolution image capturing a tracking target object is received, in order to enable a plurality of cameras having overlapping view angles to cooperatively work to track the target object, a server may transmit the image to other camera terminals in a network, so that the other cameras may recognize the image received from the server to acquire the feature description information of the tracking target object. And in order to save bandwidth, the server may have a transcoding unit therein to transcode the high resolution image into the low resolution image. And sending the transcoded low-resolution image to other cameras in the network. For example, the server may send the transcoded low-resolution images to various other camera terminals through a low-frequency channel to reduce the network load.
Although the above example describes that the high-resolution image is transcoded into the low-resolution image and sent to the camera terminals in the network, the present invention is not limited to this, for example, the server side may also recognize the high-resolution image when receiving the image, extract the feature description information of the tracking target therein, and then send the feature description information to only all or some of the camera terminals through the high-frequency channel or the low-frequency channel. Therefore, the bandwidth can be effectively saved, the power consumption waste caused by respective image recognition of each camera is avoided, and the recognition efficiency is improved.
In the embodiment of the invention, the server side transcodes the received high-resolution image into the low-resolution image and transmits the low-resolution image to the camera terminal, and as the transmission data volume is greatly reduced, the network resource is effectively saved and the network transmission efficiency is improved.
Fig. 3 depicts a schematic architecture diagram of an image acquisition apparatus 300 according to a third embodiment of the present invention. An image pickup apparatus according to a third embodiment of the present invention will be described with reference to fig. 3. The image acquisition method 300 may be applied to the electronic device described above, which may be configured to acquire, process, and transmit images. As shown in fig. 3, the image pickup device 300 includes: a first image receiving unit 301, a second image acquisition unit 302, a recognition unit 303, and a second image sending unit 304.
As shown in fig. 3, the first image receiving unit 301 receives a first image in which a tracking target object is included. According to an example of embodiment of the present invention, the electronic device may be plural. For example, the electronic device may be a plurality of cameras distributed at different locations. The plurality of cameras may be connected to each other through a wired or wireless network. For example, through an ad hoc network. In addition, the position of each camera may be fixed or movable, that is, the network topology may be fixed or variable. In addition, each camera can share pictures or videos acquired in real time to other cameras through a network. For example, the video stream may be forwarded to other cameras through the server, or may be sent directly to other cameras. Correspondingly, each camera may also receive the first image from the other cameras. For example, the first image forwarded by the server may be received, or the first image may be directly received from another camera. According to one example of the invention, multiple cameras may work in concert to track a moving target object together. When the first image acquired by one camera contains the target object, the first images received by the other cameras also contain the target tracking object.
The second image capturing unit 302 captures a second image. According to an example of embodiment of the present invention, the camera acquires the second image in real time after being turned on. In this case, the acquisition may be performed in a low resolution mode or in a high resolution mode. Alternatively, the camera may automatically switch between the high resolution acquisition mode and the low resolution acquisition mode as needed. Switching between the high resolution acquisition mode and the low resolution acquisition mode may also be performed in accordance with instructions from a server or other electronic device.
Although the image capturing method is described in fig. 1, the first image receiving unit 301 is executed to receive the first image, and then the second image capturing unit 302 is executed to capture the second image. However, those skilled in the art will appreciate that the embodiments of the present invention are not limited thereto, and for example, in the image capturing method, the current camera may simultaneously implement the functions of capturing images and receiving images from other devices. Optionally, in the image capturing method, the current camera may capture an image after being turned on, and then receive images sent by other cameras. And so on.
According to one embodiment of the invention, when the camera does not find that an abnormal object or event exists in the acquired image, and does not receive an instruction sent by a server or other cameras for starting to the high-definition acquisition mode, the second image can be acquired in the low-resolution mode, so that the power consumption and the storage space of the camera are saved. And the camera may switch the capture mode from the low resolution mode to the manuscript resolution mode when necessary. For example, the camera may switch from the low resolution mode to the high resolution mode when it receives an activation signal from a server or other camera. Alternatively, when the camera captures a predetermined target object or captures a suspicious object or a suspicious event, it may employ a high resolution acquisition mode to perform image acquisition with better image quality, thereby facilitating image analysis and identification.
The recognition unit 303 performs image recognition on the second image based on the first image and the second image. According to one example of the invention, each camera may send its position information, perspective information, etc. to other cameras in the network. Also, position information, view angle information, and the like of other electronic devices may be acquired from the other electronic devices through a network. For example, cameras can share their respective position and view information by broadcasting, so that each camera can quickly estimate the network topology to determine cameras with overlapping views. Wherein, the position information may include: geographic coordinates, azimuth, optical parameters of the image acquisition unit. According to an example of embodiment of the present invention, the neighboring cameras may be, for example, cameras having overlapping viewing angles with the current camera. That is, images captured by two cameras with overlapping perspectives have overlapping scenes. There may be one or more adjacent cameras. See, for example, fig. 5, where there is overlap in the view angles of cameras A, B, C. Camera A, B, C is a camera whose view angles do not overlap with those of D.
According to an example of the present invention, before the recognition unit 303 performs, it may be determined in advance or directly acquired whether or not there is an overlapping angle of view between the plurality of cameras. For example, the server or the cameras themselves may store the overlapping view angle relationship in advance according to the position and the view angle of each camera, and send the overlapping view angle relationship to each camera for storage. When the position of the camera changes, the server or the camera can judge the information of the view angle overlapping again according to the changed position information and view angle information, and update the stored view angle overlapping relation. In the embodiment of the invention, whether overlapping scenes exist among a plurality of cameras can be judged according to the visual angles of the cameras, and whether overlapping scenes exist among the cameras can also be judged by identifying images collected by each camera.
When the first image acquired by the adjacent camera contains the target tracking object and the current camera and the adjacent camera are cameras with overlapped view angles, the target tracking object in the first image is predicted to possibly move into the shooting range of the current camera. Therefore, at this time, the target tracking function is started for the current camera according to the switching instruction generated by the current camera itself or according to the switching instruction received from the server and the nearby camera. Meanwhile, the acquisition mode of the current camera is switched from the low resolution mode to the high resolution mode, and image recognition of the second image acquired by the current camera is started to track the target tracking object.
In addition, according to another example of the present invention, if there is no overlapping scene between the image currently captured by the camera and the first image, it may not be necessary to turn on the target tracking function, so as to reduce waste of resources.
According to an example of the embodiment of the present invention, after the current camera starts the target tracking function, the current camera performs image recognition on the acquired image. Before identification, first, feature description information of a tracking target object is acquired. Here, the feature description information of the tracking target object may be obtained in various ways, for example, it may be received from a server, or it may be received from a proximity camera, or it may be extracted from the first image received from the proximity camera. Then, the present camera compares the acquired second image with the feature description information of a predetermined tracking target object, and determines whether the tracking target object is captured according to the comparison result.
The second image sending unit 304 is configured to send the second image when the tracking target object is included in the second image. According to an example of the embodiment of the present invention, after the second image is subjected to image recognition, when it is determined that the second image includes the tracking target object, the second image may be sent to the server through the network, so that the server may perform comprehensive management and analysis in combination with the images of the tracking target object captured by the cameras. In addition, the camera can upload the position information of the camera and the tracking result information of the target object to the server while uploading a high-definition image to the server, so that the server can perform comprehensive judgment and processing by combining the information. It has been mentioned in the description of the recognition unit 303 that the high resolution recognition mode is switched on and the acquisition of the second image is performed in the high resolution mode before the acquired second image needs to be recognized. Likewise, the second image transmitted to the server by the second image transmitting unit 304 is also a high-resolution image. In order to increase the image transmission rate and avoid bandwidth limitation, according to one example of the present invention, the high resolution image may be transmitted using a high frequency channel in a mobile communication network, and the low resolution image may be transmitted using a low frequency channel in the mobile communication network. For example, a high frequency channel may transmit information at high speed through a small cell, and a low frequency channel may broadcast information at low speed through a macro cell.
Although it is mentioned in the above example, when the tracking target object is contained in the second image, the current camera transmits the second image to the server. For example, the current camera may send all images acquired after the target tracking function is turned on to the server according to the need or the instruction of the server. The image collected when the target tracking function is not started, that is, any image collected at ordinary times, can be sent to the server according to the need or the instruction of the server. Of course, alternatively, the image acquired when the target tracking function is not turned on may be acquired in a low resolution mode and sent to the server through the low frequency channel.
In the embodiment of the invention, the electronic equipment selectively starts the target tracking function through the first image received from other equipment and the second image acquired by the electronic equipment, and uploads the image to the server so as to realize the cooperative tracking of the target object by multiple equipment. Because the electronic equipment selectively uploads the images to the server, the network transmission flow is effectively controlled, and the multi-camera cooperative tracking efficiency is improved.
The above describes the image capturing method applied to the electronic device according to the first embodiment of the present invention, and as described above, the electronic device transmits the high-resolution image to the server through the network to comprehensively manage and analyze the image. The image transmission and processing method at the server side will be described below. This method corresponds to the image capturing method of the electronic device according to the first embodiment of the present invention, and thus will be described only briefly.
Fig. 4 depicts a schematic block diagram of an image transmission apparatus 400 according to a fourth embodiment of the present invention. Image transmission apparatuses 400 of four embodiments of the present invention will be described below with reference to fig. 4. The image transmission apparatus 400 may be applied to a server connected to a plurality of electronic devices in a network, and the server may be configured to receive information from the terminal device and transmit the information to the electronic devices through a wired or wireless network, and may also display and process received images or other information. As shown in fig. 4, the image transmission apparatus 400 includes: receiving section 401, transcoding section 402, and transmitting section 403.
As shown in fig. 4, the receiving unit 401 receives a high-resolution image. According to one example of the invention, a server receives a high resolution image from a camera. These images may be images containing target tracked objects. Alternatively, the image may be an image that does not include the tracking target object. The server may receive the high resolution image using a high frequency channel in a mobile communication network. For example, the information transmitted by the camera may be received by a small cell in the mobile communication network.
According to an example of the present invention, the server may store a plurality of received high resolution image files as a target file in sequence, so as to analyze the motion trajectory of the tracking target and further determine the possible motion direction thereof. In this way, after the possible movement direction of the target object is determined, the server can also instruct the cameras at the corresponding positions to start a target tracking function so as to identify and track the target. The accuracy and the efficiency of positioning and tracking are improved.
The transcoding unit 402 transcodes the high resolution image into a low resolution image. The transmission unit 403 transmits the low-resolution image to the terminal device in the network. According to an example of the present invention, when a high-resolution image capturing a tracking target object is received, in order to enable a plurality of cameras having overlapping view angles to cooperatively work to track the target object, a server may transmit the image to other camera terminals in a network, so that the other cameras may recognize the image received from the server to acquire the feature description information of the tracking target object. And in order to save bandwidth, the server may have a transcoding unit therein to transcode the high resolution image into the low resolution image. And sending the transcoded low-resolution image to other cameras in the network. For example, the server may send the transcoded low-resolution images to various other camera terminals through a low-frequency channel to reduce the network load.
Although the above example describes that the high-resolution image is transcoded into the low-resolution image and sent to the camera terminals in the network, the present invention is not limited to this, for example, the server side may also recognize the high-resolution image when receiving the image, extract the feature description information of the tracking target therein, and then send the feature description information to only all or some of the camera terminals through the high-frequency channel or the low-frequency channel. Therefore, the bandwidth can be effectively saved, the power consumption waste caused by respective image recognition of each camera is avoided, and the recognition efficiency is improved.
In the embodiment of the invention, the server side transcodes the received high-resolution image into the low-resolution image and transmits the low-resolution image to the camera terminal, and as the transmission data volume is greatly reduced, the network resource is effectively saved and the network transmission efficiency is improved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. And the software modules may be disposed in any form of computer storage media. To clearly illustrate this interchangeability of hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It should be understood by those skilled in the art that various modifications, combinations, partial combinations and substitutions may be made in the present invention depending on design requirements and other factors as long as they are within the scope of the appended claims and their equivalents.
Claims (8)
1. An image acquisition method is applied to electronic equipment, and the method comprises the following steps:
receiving a first image, wherein the first image contains a tracking target object;
acquiring a second image in a low resolution mode;
switching the acquisition mode of the second image from the low resolution mode to the high resolution mode based on the first image and the second image acquired in the low resolution mode, and performing image recognition on the second image acquired in the high resolution mode;
and when the tracking target object is contained in the second image, sending the second image.
2. The method of claim 1, wherein,
the step of switching the acquisition mode of the second image from the low resolution mode to the high resolution mode based on the first image and the second image acquired in the low resolution mode, and the step of performing image recognition on the second image acquired in the high resolution mode includes:
and when the first image and the second image have an overlapped scene, performing image recognition on the second image.
3. The method of claim 1, wherein the switching of the acquisition mode of the second image from the low resolution mode to the high resolution mode based on the first image and the second image acquired in the low resolution mode comprises the step of image recognizing the second image acquired in the high resolution mode comprising:
acquiring feature description information of the tracking target object;
comparing the acquired second image with the characteristic description information of the tracking target object;
and determining whether the second image contains the tracking target object according to the comparison result.
4. An image transmission method is applied to a server, wherein the server is connected with a plurality of terminal devices in a network, and the method comprises the following steps:
receiving a high-resolution first image, wherein the first image contains a tracking target object;
transcoding the high resolution first image into a low resolution first image;
sending the low-resolution first image to a terminal device in a network, so that the terminal device switches an acquisition mode of a second image from a low-resolution mode to a high-resolution mode based on the first image and the second image acquired in a low-resolution acquisition mode, and performs image recognition on the second image acquired in the high-resolution mode; and transmitting the second image when the tracking target object is included in the second image acquired in the high resolution mode.
5. An image acquisition device is applied to electronic equipment, and the device comprises:
a first image receiving unit, configured to receive a first image, where the first image includes a tracking target object;
the second image acquisition unit comprises a low-resolution mode acquisition unit for acquiring a second image in a low-resolution mode and a high-resolution mode acquisition unit for acquiring the second image in a high-resolution mode;
an identifying unit configured to perform image identification on the second image acquired by the high resolution mode acquiring unit when the low resolution mode acquiring unit is switched to the high resolution mode acquiring unit based on the first image and the second image acquired by the low resolution mode acquiring unit;
a second image transmitting unit configured to transmit a second image when the tracking target object is included in the second image.
6. The apparatus of claim 5, wherein,
the identification unit further performs image identification on the second image when there is an overlapping scene between the first image and the second image.
7. The apparatus of claim 5, wherein the identifying unit comprises:
an information acquisition unit configured to acquire feature description information of the tracking target object;
the comparison unit is used for comparing the acquired second image with the characteristic description information of the tracking target object;
a determining unit, configured to determine whether the second image includes the tracking target object according to a comparison result.
8. An image transmission apparatus applied to a server connected to a plurality of terminal devices in a network, the apparatus comprising:
a receiving unit, configured to receive a high-resolution first image, where the first image includes a tracking target object;
a transcoding unit for transcoding the high resolution image into a low resolution first image;
a sending unit, configured to send the low-resolution first image to a terminal device in a network, so that the terminal device switches an acquisition mode of a second image from a low-resolution mode to a high-resolution mode based on the first image and the second image acquired in a low-resolution acquisition mode, and performs image recognition on the second image acquired in a high-resolution mode; and transmitting the second image when the tracking target object is included in the second image acquired at the high resolution.
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| CN108289201B (en) * | 2018-01-24 | 2020-12-25 | 北京地平线机器人技术研发有限公司 | Video data processing method and device and electronic equipment |
| CN110839136A (en) * | 2018-08-15 | 2020-02-25 | 浙江宇视科技有限公司 | Alarm linkage method and device |
| CN109120847B (en) * | 2018-08-16 | 2020-04-21 | 北京七鑫易维信息技术有限公司 | Control method and device of image acquisition equipment |
| CN111046705A (en) * | 2018-10-12 | 2020-04-21 | 华为技术有限公司 | Image recognition method, device and system and computing equipment |
| CN111050114A (en) * | 2018-10-15 | 2020-04-21 | 珠海格力电器股份有限公司 | Low-power-consumption camera, monitoring management control system and control method thereof |
| CN110147759A (en) * | 2019-05-17 | 2019-08-20 | 北京迈格威科技有限公司 | Target identification method, system, target identification management method and storage medium |
| US12067163B2 (en) | 2021-02-08 | 2024-08-20 | Beijing 7Invensun Technology Co., Ltd. | Method and apparatus for controlling image acquisition device |
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