CN109089052B - A method and device for verifying a target object - Google Patents

Abstract

Embodiments of the present invention provide a method and device for verifying a target object. Receive the first image information transmitted by the first image acquisition device and the second image information transmitted by the second image acquisition device; analyze the first quality value of the first image information; when the first quality value is less than a preset first threshold calculating, according to the image information transmitted by the second image acquisition device, the residence time of the target object within the acquisition range of the first image acquisition device, the value of the residence time, and the estimated position of the target object corresponding to the residence time in the current environment; When the residence time value is not less than the preset exposure time value, the target object is subjected to exposure processing according to the residence time value and the estimated position, so as to generate target image information; according to the similarity value between the target image information and the pre-stored sample image information An image verification result is generated, and better target image information is obtained through the above steps, thereby improving the accuracy of the verification result.

Description

A method and device for verifying a target object

technical field

The present invention relates to the technical field of intelligent identification, and in particular, to a verification method and device for a target object.

Background technique

With the development of society, intelligent identification technology has become more and more popular. Common ones are visible light object recognition technology and infrared light object recognition technology. With the development of technology, people gradually realize that both visible light object recognition technology and infrared light object recognition technology have defects.

Visible light object recognition technology may have poor imaging quality or fail to image in an environment with insufficient light, which seriously affects the verification results. However, the recognition accuracy of infrared light object recognition technology itself is not high, and the error is large, which also seriously affects the verification results.

SUMMARY OF THE INVENTION

In order to improve the above-mentioned problems, an object of the present invention is to provide a verification method and device for a target object.

In a first aspect, an embodiment of the present invention provides a method for verifying a target object, and the steps of the method for verifying a target object include:

Receive the first image information transmitted by the first image acquisition device and the second image information transmitted by the second image acquisition device; wherein the wavelength of the light acquired by the second image acquisition device is the same as the wavelength of the light acquired by the first image acquisition device The difference of the wavelengths is greater than the preset wavelength difference, and the wavelength of the light collected by the first image collection device is smaller than the wavelength of the light collected by the second image collection device;

Analyzing the first quality value of the first image information; wherein, the first quality value is comprehensively generated according to the contrast, brightness, clarity of the first image information and the position information of the target object in the image;

When the first quality value is less than a preset first threshold, calculate the residence time of the target object within the collection range of the first image collection device according to the image information transmitted by the second image collection device, The residence time value and the estimated position of the target object corresponding to the residence time in the current environment; wherein the residence time value is the total length of the residence time;

When the residence time value is not less than a preset exposure time value, perform exposure processing on the target object according to the residence time value and the estimated position, so as to generate the target image information; wherein the The preset exposure time value is the time required for the first image acquisition device to perform exposure processing on the target object;

An image verification result is generated according to the similarity value between the target image information and the pre-stored sample image information.

In a second aspect, an embodiment of the present invention also provides a verification device for a target object, including:

an information receiving unit, configured to receive first image information transmitted by the first image acquisition device and second image information transmitted by the second image acquisition device; wherein the wavelength of the light acquired by the second image acquisition device is the same as the wavelength of the light acquired by the first image acquisition device The difference between the wavelengths of the light collected by the image collection device is greater than a preset wavelength difference, and the wavelength of the light collected by the first image collection device is smaller than the wavelength of the light collected by the second image collection device;

An analysis unit, configured to analyze the first quality value of the first image information; wherein, the first quality value is based on the contrast, brightness, clarity of the first image information and the position of the target object in the image information synthesis;

a calculation unit, configured to calculate the acquisition range of the target object in the first image acquisition device according to the image information transmitted by the second image acquisition device when the first quality value is less than a preset first threshold The residence time, the residence time value and the estimated position of the target object in the current environment corresponding to the residence time; wherein the residence time value is the total length of the residence time;

A target image information generation unit, configured to perform exposure processing on the target object according to the residence time value and the estimated position when the residence time value is not less than a preset exposure time value, so as to generate the target image information; wherein the preset exposure time value is the time required for the first image acquisition device to perform exposure processing on the target object;

A verification result generating unit, configured to generate an image verification result according to the similarity value between the target image information and the pre-stored sample image information.

The beneficial effects of the method and device for verifying a target object provided by the embodiments of the present invention include: receiving the first image information transmitted by the first image acquisition device and the second image information transmitted by the second image acquisition device; analyzing the first image information of the first image information a quality value; when the first quality value is smaller than the preset first threshold, calculate the residence time of the target object within the collection range of the first image collection device, the residence time value and the The estimated position of the target object corresponding to the residence time in the current environment; when the residence time value is not less than the preset exposure time value, the target object is exposed according to the residence time value and the estimated position, so that the target object is generated. Image information; an image verification result is generated according to the similarity value between the target image information and the pre-stored sample image information, and better target image information is obtained through the above steps, thereby improving the accuracy of the verification result.

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below, and are described in detail as follows in conjunction with the accompanying drawings.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore do not It should be regarded as a limitation of the scope, and for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 shows a schematic diagram of interaction between a server provided by an embodiment of the present invention and a first image acquisition device and a second image acquisition device respectively;

2 shows a structural block diagram of a server provided by an embodiment of the present invention;

3 shows a schematic flowchart of a verification method for a target object provided by an embodiment of the present invention;

FIG. 4 shows a schematic diagram of sub-steps of step S105 of the verification method for a target object provided by an embodiment of the present invention;

FIG. 5 shows a schematic diagram of functional units of an apparatus for verifying a target object provided by an embodiment of the present invention.

Icons: 10-server; 20-first image acquisition device; 30-second image acquisition device; 101-memory; 102-storage controller; 103-processor; 104-peripheral interface; 105-communicator; 200- 201-information receiving unit; 202-analyzing unit; 203-calculating unit; 204-target image information generating unit; 205-verifying result generating unit.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present invention.

It should be noted that relational terms such as the terms "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

A method for verifying a target object provided by a preferred embodiment of the present invention can be applied to the server 10 . As shown in FIG. 1 , the server 10 , the first image acquisition device 20 , and the second image acquisition device 30 are located in a wireless network or a wired network. Through the wireless network or wired network, the server 10 and the first image acquisition device 20 , the The two image acquisition devices 30 perform data interaction.

FIG. 2 shows a structural block diagram of a server 10 provided by an embodiment of the present invention. The server 10 includes: a memory 101, a storage controller 102, one or more (only one is shown in the figure) processors 103, a peripheral interface 104, a communicator 105, a verification device 200 for a target object, and the like. These components communicate with each other via one or more communication buses/signal lines.

The verification device 200 of the target object includes at least one software function module that can be stored in the memory 101 in the form of software or firmware or fixed in an operating system (operating system, OS) of the processor 103 .

There are various types of processor 103, such as: central processing unit (CPU), digital signal processor (Digital Signal Processing, DSP), programmable logic device (Complex Programmable Logic Device, CPLD), field programmable array (Field-Programmable Gate Array, FPGA), microcontroller, etc. A CPU is used in this embodiment.

The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the image processing apparatus and method in the embodiments of the present invention, and the verification apparatus 200 of the target object. The processor 103 executes various functional applications and data processing by running the software programs and modules stored in the memory 101, such as the verification method for a target object provided by the embodiment of the present invention. The memory 101 may also be used to store other data transmitted by the processor 103 .

Memory 101 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. Access to memory 101 by processor 103 and possibly other components may be under the control of memory controller 102 .

Peripheral interface 104 couples various input/output devices to processor 103 and memory 101 . In some embodiments, peripheral interface 104, processor 103, and memory controller 102 may be implemented in a single chip. In other instances, they may be implemented by separate chips.

The communicator 105 is controlled by the processor 103 and is used for data delivery with the first image capturing device 20 and the second image capturing device 30 .

The first image collection device 20 is configured to collect image information of the target object, and send the collected image information of the target object to the processor 103 through the communicator 105 . The first image acquisition device 20 is further configured to receive an exposure instruction sent by the processor 103, and execute an action corresponding to the exposure instruction to perform exposure processing on a designated area, thereby obtaining clear image information. The target object image information may be face image information.

The second image collection device 30 is configured to collect image information of the target object, and send the collected image information of the target object to the processor 103 through the communicator 105 .

The first image capturing device 20 may capture visible light images. The second image acquisition device 30 may acquire infrared light images. The difference between the wavelength of the light collected by the second image collecting device 30 and the wavelength of the light collected by the first image collecting device 20 is greater than the preset wavelength difference, and the wavelength of the light collected by the first image collecting device 20 is smaller than the wavelength of the light collected by the second image collecting device 20 The wavelength of the light collected by the device 30 . The above limitation can be achieved by arranging different filters in front of the lens of the first image capture device 20 and the lens of the second image capture device 30 .

The specific steps of the verification method for the target object applied to the server 10 provided by the embodiment of the present invention are shown in FIG. 3 :

Step S101: Receive first image information transmitted by the first image acquisition device and second image information transmitted by the second image acquisition device.

Wherein, the difference between the wavelength of the light collected by the second image collection device 30 and the wavelength of the light collected by the first image collection device 20 is greater than the preset wavelength difference, and the wavelength of the light collected by the first image collection device 20 is smaller than the second The wavelength of the light captured by the image capturing device 30 .

Specifically, as described in the introduction to the application environment, the target images captured by the first image capturing device 20 and the second image capturing device 30 may be face images, but are not limited to this, and may also include other identification features. object image. Meanwhile, the wavelengths of light collected by the first image collecting device 20 and the second image collecting device 30 are different, and the wavelength of the light collected by the first image collecting device 20 is smaller than that of the light collected by the second image collecting device 30 . The first image capturing device 20 and the second image capturing device 30 may capture visible light and infrared light respectively, which are not limited herein.

Step S102: Analyze the first quality value of the first image information.

Wherein, the first quality value is comprehensively generated according to the contrast, brightness, and definition of the first image information and the position information of the target object in the image.

Specifically, the first quality value may be calculated according to a face image quality algorithm or an image quality evaluation algorithm. The factors associated with the first quality value include contrast, brightness, sharpness of the image information, and position information of the target object in the image. Understandably, the level of the first quality value represents the quality of the first image information, respectively.

Step S103: Determine whether the first quality value is less than a preset first threshold? If yes, go to step S105; if not, go to step S104.

Specifically, the first threshold is specifically set according to the first image acquisition device 20 . When the first quality value is greater than or equal to the first threshold, it means that the quality of the image information collected by the first image acquisition device 20 meets the comparison condition, so step S104 is executed; when the first quality value is less than the first threshold, it means that the first image The quality of the image information collected by the collecting device 20 does not meet the comparison conditions, so step S105 needs to be performed to obtain image information with satisfactory quality.

Step S104: Identify the first image information as the target image information.

Step S105: when the first quality value is less than a preset first threshold, calculate the target object within the acquisition range of the first image acquisition device according to the image information transmitted by the second image acquisition device. The residence time, the residence time value and the estimated position of the target object corresponding to the residence time in the current environment.

Wherein, the residence time is the time that the target object stays in the image acquisition range of the first image acquisition device 20; the residence time is the total length of the residence time; the estimated position is the position of the target object corresponding to the residence time, which is understandable , in the current environment, the estimated position must be within the image acquisition range of the first image acquisition device 20 .

Specifically, calculating the residence time, the residence time value and the estimated position include the following methods:

As shown in Figure 4, the first step process is as follows:

Step S1051: Calculate the current position, current speed and current movement direction of the target object according to the image information transmitted by the second image acquisition device.

Specifically, the processor 103 receives the image information continuously transmitted by the second image acquisition device 30, and can calculate the moving distance of the target object, the current movement direction and the position change of the target object in the image information continuously transmitted by the second image acquisition device 30 current position. According to the time when the second image acquisition device 30 transmits the corresponding image information, the time corresponding to the movement of the target object can be calculated, so that the current speed of the target object can be calculated.

Step S1052: Generate the residence time value and the estimated position according to the current position, the current speed and the current movement direction.

Specifically, the movement trajectory of the target object in the next period of time can be estimated according to the current position, current speed and current movement direction of the target object, and the above-mentioned movement trajectory is compared with the image acquisition range of the first image acquisition device 20 to obtain the overlapping part . Then, according to the overlapping part and the current speed, the time that the target object stays in the overlapping part can be calculated. That is, the overlapping part is the estimated position; the time the target object stays in the overlapping part is the residence time.

The second:

The image captured by the first image capturing device 20 and the image captured by the second image capturing device 30 are respectively divided into M*N and W*T cells.

Take the target objects with the upper and lower height limits respectively for experiments. Experiment content: When the target object is in any one of the W*T cells, the target object corresponds to the position in the M*N cells, and the corresponding set is recorded. Taking a face image as an example, the upper limit of height can be set to 2.3 meters, and the lower limit of height can be set to 0.6 meters, which is not limited here.

By analyzing the position of the target object in the image captured by the second image capturing device 30 , and querying the above-mentioned corresponding geometry, the position of the target object in the image captured by the first image capturing device 20 is obtained.

Step S106: Determine whether the residence time value is less than a preset exposure time value? If yes, go to step S108; if not, go to step S107.

Step S107: Perform exposure processing on the target object according to the residence time value and the estimated position, so as to generate the target image information.

Specifically, the processor 103 calculates the residence time value and the estimated position, and controls the first image acquisition device 20 to perform exposure processing on the estimated position within the residence time to obtain clear image information of the target object, that is, target image information.

Step S108: Analyze the second quality value of the second image information.

Wherein, the second quality value is comprehensively generated according to the contrast, brightness, and definition of the second image information and the position information of the target object in the image, which is the same as step S102.

Step S109: Determine whether the second quality value is less than a preset second threshold? If yes, go to step S111; if not, go to step S110.

The same is true for step S102. Wherein, the first threshold is different from the second threshold. The second threshold is specifically set according to the second image capturing device 30 .

Step S110: Identify the second image information as the target image information.

Step S111: Determine whether the first quality value is less than a preset third threshold? If yes, go to step S110; if not, go to step S112.

Specifically, the third threshold can be understood as the lower limit of the quality value of the image information collected by the first image collection device 20 . When the first quality value is smaller than the third threshold, it can be seen that the first image acquisition device 20 has not acquired valid image information. That is, in this step, it can be judged whether the first image acquisition device 20 has acquired valid image information.

Step S112: Perform fusion processing on the first image information and the second image information, so as to generate the target image information.

Specifically, the first image information and the second image information are fused according to an image fusion algorithm, so as to generate target image information.

Step S113: Generate an image verification result according to the similarity value between the target image information and the pre-stored sample image information.

Specifically, the target image information is compared with the sample image information, and a similarity value is generated according to the similarity or coincidence between the target image information and the sample image information.

Under the condition that the first quality value is not less than the first threshold or the residence time value is not less than the exposure time value, if the similarity value is greater than the preset fourth threshold, the verification succeeds; otherwise, the verification fails.

Or under the condition that the first quality value is less than the first threshold, the first quality value is not less than the third threshold, and the second quality value is less than the second threshold, if the similarity value is greater than the preset fifth threshold, the identification is successful; otherwise, Recognition failed.

Or under the condition that the first quality value is less than the first threshold and the second quality value is greater than or equal to the second threshold, if the similarity value is greater than the preset sixth threshold, the identification succeeds; otherwise, the identification fails.

Or under the condition that the first quality value is less than the third threshold and the second quality value is less than the second threshold, if the similarity value is greater than the preset seventh threshold, the identification succeeds; otherwise, the identification fails.

Among them, the fourth threshold, the fifth threshold, the sixth threshold and the seventh threshold are different from each other. The fourth threshold may be 95%-100%; the fifth threshold may be 85%-95%; the sixth threshold may be 75%-85%; and the seventh threshold may be 70%-75%.

Please refer to 5. FIG. 5 is an apparatus 200 for verifying a target object according to a preferred embodiment of the present invention. It should be noted that the basic principle and the technical effect of the verification device 200 for a target object provided in this embodiment are the same as those of the above-mentioned embodiment. For the sake of brief description, for the part that is not mentioned in this embodiment, reference may be made to the above-mentioned implementation. corresponding content in the example.

The verification device 200 of the target object includes: an information receiving unit 201 , an analysis unit 202 , a calculation unit 203 , a target image information generation unit 204 , and a verification result generation unit 205 .

The information receiving unit 201 is configured to receive the first image information transmitted by the first image acquisition device 20 and the second image information transmitted by the second image acquisition device 30 . Specifically, the information receiving unit 201 may perform step S101.

The analyzing unit 202 is configured to analyze the first quality value of the first image information. Specifically, the analysis unit 202 may execute step S102.

The calculation unit 203 is configured to calculate, according to the image information transmitted by the second image acquisition device 30, the residence time of the target object within the acquisition range of the first image acquisition device 20, when the first quality value is less than the preset first threshold value, The residence time value and the estimated position of the target object corresponding to the residence time in the current environment. Specifically, the computing unit 203 may execute steps S103 and S105.

The calculation unit 203 is specifically configured to calculate the current position, the current speed and the current movement direction of the target object according to the image information transmitted by the second image acquisition device 30 . Specifically, the computing unit 203 may execute step S1051.

The calculation unit 203 is further configured to generate the residence time value and the estimated position according to the current position, the current speed and the current movement direction. Specifically, the computing unit 203 may execute step S1052. The target image information generating unit 204 is configured to perform exposure processing on the target object according to the residence time value and the estimated position when the residence time value is not less than a preset exposure time value, so as to generate target image information. Specifically, the target image information generating unit 204 may perform steps S106 and S107.

The analyzing unit 202 is further configured to analyze the second quality value of the second image information when the dwell time value is less than the exposure time value. Specifically, the analysis unit 202 may also perform step S108.

The target image information generating unit 204 is further configured to perform fusion processing on the first image information and the second image information when the second quality value is less than a preset second threshold and the first quality value is not less than a preset third threshold, to generate target image information. Specifically, the target image information generating unit 204 may also perform step S109, step S111 and step S112.

The target image information generating unit 204 is further configured to identify the first image information as the target image information when the first quality value is greater than or equal to the first threshold;

The target image information generating unit 204 is further configured to identify the second image information as the target image information when the first quality value is less than the first threshold and the second quality value is greater than or equal to the second threshold;

The target image information generating unit 204 is further configured to identify the second image information as the target image information when the first quality value is smaller than the third threshold and the second quality value is smaller than the second threshold.

The verification result generating unit 205 is configured to generate an image verification result according to the similarity value between the target image information and the pre-stored sample image information. Specifically, the verification result generating unit 205 may execute step S113.

The verification result generating unit 205 includes:

The similarity value generation module is used to compare the target image information with the sample image information, so as to generate the similarity value.

The verification module is used for verifying successfully if the similarity value is greater than the preset fourth threshold value under the condition that the residence time value is not less than the exposure time value; otherwise, the verification fails.

The verification module is further configured to identify if the similarity value is greater than the preset fifth threshold under the condition that the first quality value is less than the first threshold, the first quality value is not less than the third threshold and the second quality value is less than the second threshold success; otherwise, recognition failed.

To sum up, the embodiments of the present invention provide a method and device for verifying a target object: first, receive the first image information transmitted by the first image acquisition device and the second image information transmitted by the second image acquisition device; The first quality value of the image information; when the first quality value is less than the preset first threshold, calculate the residence time of the target object within the collection range of the first image collection device according to the image information transmitted by the second image collection device, The residence time value and the estimated position of the target object corresponding to the residence time in the current environment; when the residence time value is not less than the preset exposure time value, the target object is exposed according to the residence time value and the estimated position. In order to generate the target image information; generate the image verification result according to the similarity value between the target image information and the pre-stored sample image information, and obtain better target image information through the above steps, thereby improving the accuracy of the verification result; When the time value is less than the exposure time value, the second quality value of the second image information is analyzed; wherein, the second quality value is comprehensively generated according to the contrast, brightness, clarity of the second image information and the position information of the target object in the image ; When the second quality value is less than the preset second threshold value and the first quality value is not less than the preset third threshold value, the first image information and the second image information are fused to make the generation target image information, current In the case of insufficient lighting in the environment, better target image information can be obtained through the above steps, the accuracy of the verification result is improved, and the adaptability of the verification device is improved.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may also be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality and possible implementations of apparatuses, methods and computer program products according to various embodiments of the present invention. operate. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present invention may be integrated to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. the verification method of a target object, is characterized in that, the step of the verification method of described target object comprises: Receive the first image information transmitted by the first image acquisition device and the second image information transmitted by the second image acquisition device; wherein the wavelength of the light acquired by the second image acquisition device is the same as the wavelength of the light acquired by the first image acquisition device The difference of the wavelengths is greater than the preset wavelength difference, and the wavelength of the light collected by the first image collection device is smaller than the wavelength of the light collected by the second image collection device; Analyzing the first quality value of the first image information; wherein, the first quality value is comprehensively generated according to the contrast, brightness, clarity of the first image information and the position information of the target object in the image; When the first quality value is less than a preset first threshold, calculate the residence time of the target object within the collection range of the first image collection device according to the image information transmitted by the second image collection device, The residence time value and the estimated position of the target object corresponding to the residence time in the current environment; wherein the residence time value is the total length of the residence time; When the dwell time value is not less than a preset exposure time value, the first image acquisition device is controlled to perform exposure processing on the estimated position within the dwell time to obtain target image information; The set exposure time value is the time required for the first image acquisition device to perform exposure processing on the target object; An image verification result is generated according to the similarity value between the target image information and the pre-stored sample image information. 2 . The verification method for a target object according to claim 1 , wherein, before the step of generating an image verification result based on the similarity value between the target image information and the pre-stored sample image information, the target object is 2. 3 . The steps of the verification method also include: When the dwell time value is less than the exposure time value, a second quality value of the second image information is analyzed; wherein the second quality value is based on the contrast, brightness, The clarity and the position information of the target object in the image are comprehensively generated; When the second quality value is less than a preset second threshold and the first quality value is not less than a preset third threshold, the first image information and the second image information are fused to causes the target image information to be generated. 3. The verification method for a target object according to claim 2, wherein the step of generating an image verification result based on the similarity between the target image information and the pre-stored sample image information comprises: Comparing the target image information and the sample image information to generate a similarity value; Under the condition that the residence time value is not less than the exposure time value, if the similarity value is greater than the preset fourth threshold, the verification is successful; otherwise, the verification fails; Or under the condition that the first quality value is less than the first threshold, the first quality value is not less than the third threshold, and the second quality value is less than the second threshold, if the similar value If it is greater than the preset fifth threshold, the identification is successful; otherwise, the identification fails. 4. The verification method of a target object according to claim 2, wherein the step of the verification method of the target object further comprises: When the first quality value is greater than or equal to the first threshold, identifying the first image information as the target image information; When the first quality value is less than the first threshold and the second quality value is greater than or equal to the second threshold, identifying the second image information as the target image information; When the first quality value is smaller than the third threshold and the second quality value is smaller than the second threshold, the second image information is identified as the target image information. 5 . The verification method for a target object according to claim 1 , wherein the acquisition range of the target object in the first image acquisition device is calculated according to the image information transmitted by the second image acquisition device. 6 . The step of the residence time, the residence time value and the estimated position of the target object in the current environment corresponding to the residence time in the current environment includes: calculating the The current position, current speed and current direction of movement of the target object; The residence time, the residence time value, and the estimated position are generated from the current position, the current speed, and the current movement direction. 6. A verification device for a target object, wherein the verification device for the target object comprises: an information receiving unit, configured to receive first image information transmitted by the first image acquisition device and second image information transmitted by the second image acquisition device; wherein the wavelength of the light acquired by the second image acquisition device is the same as the wavelength of the light acquired by the first image acquisition device The difference between the wavelengths of the light collected by the image collection device is greater than a preset wavelength difference, and the wavelength of the light collected by the first image collection device is smaller than the wavelength of the light collected by the second image collection device; An analysis unit, configured to analyze the first quality value of the first image information; wherein, the first quality value is based on the contrast, brightness, clarity of the first image information and the position of the target object in the image information synthesis; a calculation unit, configured to calculate the acquisition range of the target object in the first image acquisition device according to the image information transmitted by the second image acquisition device when the first quality value is less than a preset first threshold The residence time, the residence time value and the estimated position of the target object in the current environment corresponding to the residence time; wherein the residence time value is the total length of the residence time; A target image information generation unit, configured to control the first image acquisition device to perform exposure processing on the estimated position within the residence time to obtain a target when the residence time value is not less than a preset exposure time value Image information; wherein, the preset exposure time value is the time required for the first image acquisition device to perform exposure processing on the target object; A verification result generating unit, configured to generate an image verification result according to the similarity value between the target image information and the pre-stored sample image information. 7. The verification device of the target object according to claim 6, characterized in that: The analyzing unit is further configured to analyze a second quality value of the second image information when the residence time value is less than the exposure time value; wherein the second quality value is based on the second image The contrast, brightness, clarity of the information and the position information of the target object in the image are comprehensively generated; The target image information generating unit is further configured to, when the second quality value is less than a preset second threshold and the first quality value is not less than a preset third threshold, combine the first image information with the preset threshold. The second image information is fused to generate the target image information. 8. The verification device for a target object according to claim 7, wherein the verification result generating unit comprises: a similarity value generation module, configured to compare the target image information with the sample image information to generate a similarity value; a verification module, configured to verify successful if the similarity value is greater than a preset fourth threshold under the condition that the residence time value is not less than the exposure time value; otherwise, the verification fails; The verification module is further configured to under the condition that the first quality value is less than the first threshold, the first quality value is not less than the third threshold and the second quality value is less than the second threshold , if the similarity value is greater than the preset fifth threshold, the identification is successful; otherwise, the identification fails. 9 . The verification device for a target object according to claim 7 , wherein the target image information generating unit is further configured to: when the first quality value is greater than or equal to the first threshold, An image information is identified as the target image information; The target image information generating unit is further configured to identify the second image information as the second image information when the first quality value is less than the first threshold and the second quality value is greater than or equal to the second threshold. Describe the target image information; The target image information generating unit is further configured to identify the second image information as the target image information when the first quality value is smaller than the third threshold and the second quality value is smaller than the second threshold . 10. The verification device of the target object according to claim 6, characterized in that: The calculation unit is specifically configured to calculate the current position, current speed and current movement direction of the target object according to the image information transmitted by the second image acquisition device; The calculating unit is further configured to generate the residence time, the residence time value and the estimated position according to the current position, the current speed and the current movement direction.

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