CN114663464A - Method, system and device for determining motion state of target and storage medium - Google Patents

Abstract

When the running state of the target in the image is determined, firstly, the difference between the pixel of the area where the target is located in the current frame image and the pixel of the area determined in the previous frame image is judged to roughly judge the motion of the target, and the influence of external environmental factors such as light on the pixel is considered, so that the misjudgment caused by the influence of the external environmental factors on the pixel is avoided, the variable quantity of the displacement of the preset position point of the area determined in the current frame image and the preset position point of the area determined in the previous frame image is also judged, the influence of the external environmental factors on the running state of the target in the determined image is reduced, and the accuracy of determining the running state of the target is improved.

Description

Method, system, device and storage medium for determining motion state of a target

technical field

The present invention relates to the technical field of monitoring, and in particular, to a method, system, device and storage medium for determining a motion state of a target.

Background technique

With the development of computer vision technology and video processing technology, image detection and recognition technology has been widely used in the field of monitoring. When performing target detection on an image, the motion state of the target in the image is usually determined, wherein the target here may be a person or a car. In the prior art, there is a problem of low precision when determining the motion state of the target in the image. Therefore, how to provide a solution to the above technical problem is a problem that those skilled in the art need to solve at present.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a method, system, device and storage medium for determining the motion state of a target, which reduces the influence of external environmental factors on determining the motion state of the target in the image, and improves the accuracy of determining the motion state of the target.

In order to solve the above-mentioned technical problems, the present invention provides a method for determining the motion state of a target, including:

Determine the area where the target is located in the current frame image;

Judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference amount;

If it is less than the preset pixel difference amount, then determine that the target is in a static state;

If it is not less than the preset pixel difference amount, determine whether the change amount of the displacement between the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the preset amount position point displacement;

If it is greater than the displacement of the preset position point, it is determined that the target is in a motion state;

If it is not greater than the displacement amount of the preset position point, it is determined that the target is in a stationary state.

Preferably, judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference, including:

Divide the area where the target is located in the current frame image into multiple sub-areas;

The following operations are performed on a plurality of the sub-regions:

Determine the amount of difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image;

Determine whether the difference between the pixel of the sub-region of the current frame image and the pixel of the corresponding position in the previous frame image is less than the pixel difference of the preset sub-region;

If it is less than the preset sub-region pixel difference amount, then determine that the sub-region of the current frame image is in a static state;

If it is not less than the preset sub-region pixel difference amount, then determine that the sub-region of the current frame image is in a motion state;

Determine whether the number of sub-regions that are in motion in the current frame image is less than the preset amount of motion sub-regions;

If it is less than the preset motion sub-region amount, then determine that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is smaller than the preset pixel difference amount;

If it is not less than the preset motion sub-region amount, it is determined that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is not less than the preset pixel difference amount .

Preferably, the area is a rectangular area including the target;

Divide the area where the target is located in the current frame image into multiple sub-areas, including:

Divide the area where the target is located in the current frame image into N*M sub-areas, where N and M are both integers not less than 2.

Preferably, determining the difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image includes:

Perform the following operations on the pixels at each position in the sub-region of the current frame image:

Determine the absolute value of the difference in the RGB channel between the pixel at the current position of the sub-region of the current frame image and the pixel at the corresponding position in the previous frame image;

Determine the average value of the absolute value of the difference amount of the pixels on the RGB channel as the difference amount of the pixel at the current position;

Summing the difference amounts of the pixels of all positions of the sub-region of the current frame image to obtain the total difference amount;

A value obtained by dividing the total difference by the area of the sub-region is used as the difference between the pixels of the sub-region in the current frame image and the pixels of the sub-region at the corresponding position in the previous frame image.

Preferably, judging whether the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point, including:

Determine whether the change amount of the displacement of the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image is greater than the preset center point displacement amount;

If it is greater than the preset center point displacement, it is determined that the change amount of the displacement between the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the preset position point displacement;

If it is not greater than the preset center point displacement, determine that the change in the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the preset position point Set the position point displacement.

In order to solve the above-mentioned technical problems, the present invention also provides a system for determining the motion state of a target, including:

The first determining unit is used to determine the area where the target is located in the current frame image;

a first judging unit for judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference;

a second determining unit, configured to determine that the target is in a static state when the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than a preset pixel difference ;

a second judging unit, configured to judge the current frame image when the difference between the pixels in the area determined in the current frame image and the pixels in the area determined in the previous frame image is not less than a preset pixel difference amount Whether the change amount of the displacement of the preset position point of the region determined in the image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point;

A third determining unit, configured to: when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point, determining that the target is in a motion state;

The fourth determining unit is used for when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the displacement amount of the preset position point , and determine that the target is in a stationary state.

In order to solve the above-mentioned technical problems, the present invention also provides a device for determining the motion state of a target, including:

memory for storing computer programs;

The processor is configured to implement the steps of the method for determining the motion state of the above target when executing the computer program.

In order to solve the above technical problem, the present invention also provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining the motion state of the above target are realized.

The invention discloses a method, system, device and storage medium for determining the motion state of a target. When determining the running state of a target in an image, firstly by comparing the pixels of the area where the target is located in the current frame image and the pixels determined in the previous frame image The difference between the pixels in the area is judged to make a rough judgment on the movement of the target. Considering the external environmental factors such as light will affect the pixels, therefore, in order to avoid the misjudgment caused by the influence of external environmental factors on the pixels, also It will judge the change amount of the displacement of the preset position point of the area determined in the current frame image and the preset position point of the area determined in the previous frame image, which reduces the influence of external environmental factors on determining the motion state of the target in the image. The influence of the target improves the accuracy of the determination of the motion state of the target.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the prior art and the accompanying drawings required in the embodiments. Obviously, the drawings in the following description are only some of the present invention. In the embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic flowchart of a method for determining a motion state of a target provided by the present invention;

2 is a schematic diagram of the principle of a method for determining a motion state of a target provided by the present invention;

3 is a schematic structural diagram of a system for determining the motion state of a target provided by the present invention;

FIG. 4 is a schematic structural diagram of an apparatus for determining a motion state of a target provided by the present invention.

Detailed ways

The core of the present invention is to provide a method, system, device and storage medium for determining the motion state of the target, which reduces the influence of external environmental factors on determining the motion state of the target in the image, and improves the accuracy of determining the motion state of the target.

In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, 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 These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Please refer to FIG. 1 , which is a schematic flowchart of a method for determining a motion state of a target provided by the present application.

The present invention provides a method for determining the motion state of a target, comprising:

S11: Determine the area where the target is located in the current frame image;

With the development of computer vision technology and video processing technology, image detection and recognition technology has been widely used in the monitoring field. If the position of the target has not changed, the target can be ignored. If the position of the target has changed, the target whose position has changed will be processed. Therefore, judging the running state of the target in the image is not only useful for image detection. It saves time and greatly reduces the workload of image detection. When determining the motion state of the target in the image, first obtain the image to be monitored, and then train the target detector. SSD (Single Shot MultiBox Detector) and YOLO (You Only Look Once) target detectors can be used. For example, a certain area needs to be monitored. Whether the person or car is moving, then a person or car target detector should be trained first to detect the target in the image. For example, a rectangular frame can be used to frame the area including the target, so that the target in the current frame image can be determined. area, so as to subsequently judge the motion state of the target in the area of the current frame image, and the implementation method is simple and easy to operate.

In addition, the area where the target is located in the current frame image can, but is not limited to, represent its position by using four coordinate values, namely (X, Y, W, H), where X represents the abscissa of the upper left corner of the target in the image, Y represents the ordinate of the upper left corner of the object in the image, W represents the width of the object, and H represents the height of the object.

S12: Determine whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference amount, if it is less than the preset pixel difference amount, go to S13, otherwise, go to S13 S14;

S13: determine that the target is in a stationary state;

In order to be able to track the motion state of the target in the image, the change of the pixels in the area where the target is located in the image can be determined. Determine the difference between the pixels in the area, and compare the determined pixel difference with the preset pixel difference, if the determined pixel difference is less than the preset pixel difference, then enter step S12, if the determined pixel difference If the amount is not less than the preset pixel difference amount, it can be determined that the target in the image is in a static state, so that the motion state of the target in the image can be tracked and the motion of the target can be roughly judged.

S14: Determine whether the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point, if it is greater than the preset position point displacement amount, enter S15, otherwise, enter S13;

S15: Determine that the target is in a motion state.

The factors that take into account the pixel changes in the area where the target is located in the image may not only be that the target is in motion, but also external environmental factors such as light changes (the vehicle suddenly turns on the headlights at night, or the indoor lights suddenly turn off) will also have an impact on the pixel changes. , there may be changes in pixels due to external environmental factors, but the target in the actual image does not move, resulting in a misjudgment of the running state of the target in the image. In order to improve the accuracy of the determination of the movement state of the target, you can By determining the change of the preset position point in the area where the target is located in the image, the selection of the preset position point can be randomly selected, or the center point of the area where the target is located in the image, specifically, the determined area in the current frame image can be determined the preset position point and the change amount of the displacement of the preset position point in the area determined in the previous frame of image, and compare the change amount of the determined preset position point displacement with the preset position point displacement amount, if it is determined If the change amount of the displacement of the preset position point is greater than the displacement amount of the preset position point, it can be determined that the target in the image is in a motion state. It can be determined that the target in the image is in a static state, thereby reducing misjudgment of the motion state of the target in the image due to external environmental factors, and improving the accuracy of determining the motion state of the target.

To sum up, the method for determining the motion state of the target of the present application adopts the method of cascade judgment, which realizes the accurate judgment of the motion state of the target in the image, and can effectively solve the problem of determining the accuracy of the motion state of the target in the image under external environmental factors. low problem.

On the basis of the above-mentioned embodiment:

Please refer to FIG. 2 , which is a schematic diagram of the principle of a method for determining a motion state of a target provided by the present application.

As a preferred embodiment, judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference, including:

Divide the area where the target is located in the current frame image into multiple sub-areas;

Perform the following operations on multiple sub-regions:

Determine the difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image;

Determine whether the difference between the pixel of the sub-region of the current frame image and the pixel of the corresponding position in the previous frame image is less than the pixel difference of the preset sub-region;

If it is less than the preset sub-region pixel difference, then determine that the sub-region of the current frame image is in a static state;

If it is not less than the pixel difference amount of the preset sub-region, it is determined that the sub-region of the current frame image is in a motion state;

Determine whether the number of sub-regions that are in motion in the current frame image is less than the preset amount of motion sub-regions;

If it is less than the preset motion sub-region amount, then determine that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is less than the preset pixel difference amount;

If it is not less than the preset motion sub-region amount, it is determined that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is not less than the preset pixel difference amount.

In order to more accurately judge the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image, in this embodiment, the area where the target is located in the current frame image may be determined. Partition processing is performed. Specifically, the area where the target is located in the current frame image may be divided into multiple sub-areas, for example, but not limited to N*M sub-areas, where N and M are both integers not less than 2, and then determine multiple sub-areas. Whether each sub-area in the area is in a motion state, specifically, firstly, the difference between the pixels of the sub-area of the current frame image and the pixels of the sub-area at the corresponding position in the previous frame image of the current frame can be determined, and the determined sub-area can be determined. The difference between the pixels of the area is compared with the pixel difference of the preset sub-area. If the difference between the pixels of the sub-area of the current frame image and the pixels of the corresponding position in the previous frame image is less than the pixel difference of the preset sub-area, you can It is determined that the sub-area of the current frame image is in a static state. If the difference between the pixels of the sub-area of the current frame image and the pixels of the corresponding position in the previous frame image is not less than the preset pixel difference of the sub-area, it can be determined that the pixel of the current frame image is in a static state. The sub-region is in a motion state. This method can be used to determine whether each sub-region is in a motion state, then count the number of sub-regions in a motion state in the multiple sub-regions, and determine the sub-regions in a motion state in the current frame image. Whether the number of regions is less than the preset amount of motion sub-regions, if the number of sub-regions in motion in the current frame image is less than the preset amount of motion sub-regions, the pixels of the determined region in the current frame image and the previous frame image can be determined The difference between the pixels of the area determined in the image is less than the preset pixel difference. If the number of sub-areas that are in motion in the current frame image is not less than the preset motion sub-area amount, the determined area in the current frame image can be determined. The difference between the pixels in the image and the pixels in the determined area in the previous frame of image is not less than the preset pixel difference, which can realize more accurate determination of the motion state of the target in the image and higher detection accuracy.

For example, the area where the target is located in the current frame image can be divided into 9 sub-areas, and the preset sub-area pixel difference is 50. If it is less than 50, it is determined that the sub-region of the current frame image is in a static state, otherwise, it is determined that the sub-region of the current frame image is in a moving state. The preset amount of motion sub-regions is 3. If the number of sub-regions in the motion state in the current frame image is less than 3, then determine the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image. The difference amount is less than the preset pixel difference amount, otherwise it is determined that the difference amount between the pixels of the determined area in the current frame image and the pixels of the determined area in the previous frame image is not less than the preset pixel difference amount.

As a preferred embodiment, the area is a rectangular area including the target;

Divide the area where the target is located in the current frame image into multiple sub-areas, including:

Divide the area where the target is located in the current frame image into N*M sub-areas, where N and M are both integers not less than 2.

Considering that when determining the motion state of the target in the image, the target in the image needs to be framed from the image, and according to specific requirements, the size of the area where the target is located in the current frame image can be controlled as a rectangular area including the target, Of course, it is not limited to the size of the control area including the background excluding the target. In addition, the division of the area where the target is located in the current frame image can be divided into N*M sub-areas, where N and M are both integers not less than 2. Of course, in actual situations, the length and width can also be set to different values, so that you can It avoids the problem of more backgrounds in the area caused by the large area of the target, and there is a problem of judgment error, and also reduces the influence of external environmental factors on the judgment of the running state of the target.

For example, the horizontal and vertical directions of the region where the target is located in the current frame image are divided into 3 equal parts, so that 9 sub-regions can be obtained.

As a preferred embodiment, determining the difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image includes:

Perform the following operations on the pixels at each position in the sub-region of the current frame image:

Determine the absolute value of the difference in the RGB channel between the pixel at the current position of the sub-region of the current frame image and the pixel at the corresponding position in the previous frame image;

Determine the average value of the absolute value of the difference amount of the pixels on the RGB channel as the difference amount of the pixel at the current position;

Sum the differences of pixels in all positions of the sub-region of the current frame image to obtain the total difference;

A value obtained by dividing the total difference by the area of the sub-region is used as the difference between the pixels of the sub-region in the current frame image and the pixels of the sub-region at the corresponding position in the previous frame image.

In order to be able to determine whether each sub-area in the area where the target is located in the image has moved, it is necessary to determine the amount of difference between the pixels of the sub-area of the current frame image and the pixels of the sub-area of the corresponding position in the previous frame image, that is, it is necessary to determine The difference between the pixels of each position in the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image, specifically, it is necessary to first determine the pixel of the current position of the sub-region of the current frame image in the RGB space and the absolute value of the difference in the RGB channel of the pixel at the corresponding position in the previous frame of image, and then average the absolute values of the determined difference values of the three channels to obtain the difference of the pixel at the current position. diff=abs( img1(i,j)-img2(i,j)), where i is the abscissa of the pixel at a position in the sub-area of the image, j is the ordinate of the pixel at a position in the sub-area of the image, and then the current frame image The difference amounts of the pixels in all positions of the sub-region are summed to obtain a total difference amount DIFF. Assuming that the length and width of each sub-region are h and w, respectively, then the value obtained by dividing the total difference by the area of the sub-region is used as the pixel of the sub-region of the current frame image and the pixel of the sub-region at the corresponding position in the previous frame image. The difference amount DIFF_Score=DIFF/h/w, so that the motion state of the sub-region can be more accurately judged subsequently according to the difference amount of the pixels of the sub-region.

Of course, to determine the difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image, the difference amount can also be calculated in the grayscale space, which is not specifically limited in this application.

As a preferred embodiment, judging whether the change amount of the displacement of the preset position point of the area determined in the current frame image and the preset position point of the area determined in the previous frame image is greater than the displacement amount of the preset position point, including :

Determine whether the change amount of the displacement of the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image is greater than the preset center point displacement amount;

If it is greater than the preset center point displacement amount, determine that the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the preset position point displacement amount;

If it is not greater than the preset center point displacement, it is determined that the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the preset position point displacement quantity.

In order to meet the requirement of determining the running state of the target in the image when the external environment changes relatively frequently, in this embodiment, the center point of the determined area in the image can be selected as the preset position point, so that the center point of the determined area in the image can be selected according to the current frame image. The movement state of the target in the image is judged by the change amount of the displacement between the center point of the determined area and the center point of the area determined in the previous frame image. Specifically, the center point of the determined area in the current frame image can be judged. Whether the change in the displacement of the center point of the area determined in one frame of image is greater than the preset center point displacement amount, if the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image are the same If the amount of change is greater than the displacement of the preset center point, it can be determined that the amount of change in the displacement of the preset position point of the area determined in the current frame image and the preset position point of the area determined in the previous frame image is greater than the displacement of the preset position point If the change in displacement between the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image is not greater than the preset center point displacement amount, then the determined area in the current frame image can be determined. The variation of the displacement between the preset position point and the preset position point in the region determined in the previous frame of image is not greater than the displacement amount of the preset position point. Therefore, the method of this embodiment can effectively eliminate the influence of external environmental factors on the image. It improves the accuracy and efficiency of locking the target in motion.

For example, the preset displacement of the center point is 2. If the change in displacement between the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image is greater than 2, then the determined center point in the current frame image is determined. The variation of the displacement between the preset position point of the area and the preset position point of the area determined in the previous frame image is greater than the displacement amount of the preset position point, otherwise, determine the preset position point and the upper position point of the area determined in the current frame image. The change amount of the displacement of the preset position point of the determined area in one frame of image is not greater than the displacement amount of the preset position point.

Please refer to FIG. 3. FIG. 3 is a schematic structural diagram of a system for determining the motion state of a target provided by the application. The system for determining the motion state of the target includes:

The first determination unit 31 is used to determine the area where the target is located in the current frame image;

The first judging unit 32 is used for judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference amount;

The second determination unit 33 is used to determine that the target is a static state when the difference between the pixels of the determined area in the current frame image and the pixels of the determined area in the previous frame image is less than the preset pixel difference;

The second judging unit 34 is configured to judge, when the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is not less than the preset pixel difference Whether the change amount of the displacement of the preset position point of the area and the preset position point of the area determined in the previous frame image is greater than the displacement amount of the preset position point;

The third determining unit 35 is configured to determine when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point The target is a state of motion;

The fourth determination unit 36 is used for when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the displacement amount of the preset position point, Make sure the target is stationary.

For the introduction of a system for determining a motion state of a target provided by the present invention, please refer to the above method embodiments, which will not be repeated in the present invention.

Please refer to FIG. 4. FIG. 4 is a schematic structural diagram of a device for determining the motion state of a target provided by the application. The device for determining the motion state of the target includes:

memory 41 for storing computer programs;

The processor 42 is configured to implement the steps of the above-mentioned target motion state determination method when executing the computer program.

For the introduction of an apparatus for determining a motion state of a target provided by the present invention, please refer to the above method embodiments, which will not be repeated in the present invention.

In order to solve the above technical problems, the present invention also provides a storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for determining the motion state of the above target are realized.

For an introduction to a storage medium provided by the present invention, please refer to the foregoing method embodiments, which are not repeated herein in the present invention.

It should be noted that in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities or operations There is no such actual relationship or order between them. 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.

The above description of the disclosed embodiments enables any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. a method for determining the state of motion of a target, comprising: Determine the area where the target is located in the current frame image; Judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference amount; If it is less than the preset pixel difference amount, then determine that the target is in a static state; If it is not less than the preset pixel difference amount, determine whether the change amount of the displacement between the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the preset amount position point displacement; If it is greater than the displacement of the preset position point, it is determined that the target is in a motion state; If it is not greater than the displacement amount of the preset position point, it is determined that the target is in a stationary state. 2. The method for determining the motion state of a target as claimed in claim 1, characterized in that judging whether the difference between the pixels of the determined area in the current frame image and the pixels of the determined area in the previous frame image is less than Preset pixel variance amounts, including: Divide the area where the target is located in the current frame image into multiple sub-areas; The following operations are performed on a plurality of the sub-regions: Determine the amount of difference between the pixels of the sub-region of the current frame image and the pixels of the sub-region of the corresponding position in the previous frame image; Determine whether the difference between the pixel of the sub-region of the current frame image and the pixel of the corresponding position in the previous frame image is less than the pixel difference of the preset sub-region; If it is less than the preset sub-region pixel difference amount, then determine that the sub-region of the current frame image is in a static state; If it is not less than the preset sub-region pixel difference amount, then determine that the sub-region of the current frame image is in a motion state; Determine whether the number of sub-regions that are in motion in the current frame image is less than the preset amount of motion sub-regions; If it is less than the preset motion sub-region amount, then determine that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is smaller than the preset pixel difference amount; If it is not less than the preset motion sub-region amount, it is determined that the difference between the pixels of the region determined in the current frame image and the pixels of the region determined in the previous frame image is not less than the preset pixel difference amount . 3. The method for determining the motion state of a target according to claim 2, wherein the area is a rectangular area including the target; Divide the area where the target is located in the current frame image into multiple sub-areas, including: Divide the area where the target is located in the current frame image into N*M sub-areas, where N and M are both integers not less than 2. 4. the motion state determination method of the target as claimed in claim 2 is characterized in that, determining the difference amount of the pixel of the sub-area of the corresponding position in the pixel of the described sub-region of the current frame image and the sub-area of the corresponding position in the previous frame image, comprising: Perform the following operations on the pixels at each position in the sub-region of the current frame image: Determine the absolute value of the difference in the RGB channel between the pixel at the current position of the sub-region of the current frame image and the pixel at the corresponding position in the previous frame image; Determine the average value of the absolute value of the difference amount of the pixels on the RGB channel as the difference amount of the pixel at the current position; Summing the difference amounts of the pixels of all positions of the sub-region of the current frame image to obtain the total difference amount; A value obtained by dividing the total difference by the area of the sub-region is used as the difference between the pixels of the sub-region in the current frame image and the pixels of the sub-region at the corresponding position in the previous frame image. 5. The method for determining the motion state of a target according to any one of claims 1 to 4, wherein judging the preset position point of the region determined in the current frame image and the region determined in the previous frame image. Whether the change amount of the displacement of the preset position point is greater than the displacement amount of the preset position point, including: Determine whether the change amount of the displacement of the center point of the area determined in the current frame image and the center point of the area determined in the previous frame image is greater than the preset center point displacement amount; If it is greater than the preset center point displacement, it is determined that the change amount of the displacement between the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the preset position point displacement; If it is not greater than the preset center point displacement, determine that the change in the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the preset position point Set the position point displacement. 6. A system for determining the motion state of a target, comprising: The first determining unit is used to determine the area where the target is located in the current frame image; a first judging unit for judging whether the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than the preset pixel difference; a second determining unit, configured to determine that the target is in a static state when the difference between the pixels of the area determined in the current frame image and the pixels of the area determined in the previous frame image is less than a preset pixel difference ; a second judging unit, configured to judge the current frame image when the difference between the pixels in the area determined in the current frame image and the pixels in the area determined in the previous frame image is not less than a preset pixel difference amount Whether the change amount of the displacement of the preset position point of the region determined in the image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point; A third determining unit, configured to: when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is greater than the displacement amount of the preset position point, determining that the target is in a motion state; The fourth determining unit is used for when the change amount of the displacement of the preset position point of the region determined in the current frame image and the preset position point of the region determined in the previous frame image is not greater than the displacement amount of the preset position point , determine that the target is in a stationary state. 7. A device for determining a motion state of a target, comprising: memory for storing computer programs; The processor is configured to implement the steps of the method for determining the motion state of the target according to any one of claims 1 to 5 when executing the computer program. 8. A storage medium, characterized in that, a computer program is stored on the storage medium, and when the computer program is executed by the processor, the method for determining the motion state of the target according to any one of claims 1 to 5 is realized. step.

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