CN109859149B - Small animal motion tracking method for setting target searching area - Google Patents
Small animal motion tracking method for setting target searching area Download PDFInfo
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- CN109859149B CN109859149B CN201910073015.3A CN201910073015A CN109859149B CN 109859149 B CN109859149 B CN 109859149B CN 201910073015 A CN201910073015 A CN 201910073015A CN 109859149 B CN109859149 B CN 109859149B
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Abstract
The invention discloses a small animal motion tracking method for setting a target searching area, which creatively introduces a target tracking prediction area range on the basis of subtraction of the background of the former, thereby realizing the accuracy of target tracking and reducing external interference factors. The range of the area where the target is found and tracked is limited from the second frame of the video stream, so that the tracked target outline is more accurately identified, and the accuracy and anti-interference performance of target tracking are greatly improved for animal behavioral analysis.
Description
Technical Field
The invention relates to the field of moving target detection, in particular to a small animal movement tracking method for a set target searching area.
Background
The moving object detection is a popular subject in the computer vision research, and the realization method is to detect a change area in a sequence image and extract a moving object from a background image, so that the target tracking is realized, and the method has extremely important application in various industries such as security monitoring, intelligent traffic light management, unmanned driving, face recognition, animal behavioural analysis and the like. Motion detection is classified into two types, static background and motion background, with three methods most commonly used: frame difference method, optical flow method, background subtraction method.
Frame difference method: the principle is that a pixel-based time difference is adopted between two or three adjacent frames of an image sequence to extract a motion region in the image through thresholding. The frame difference method has the advantages of high processing speed and strong adaptability to environment; the disadvantages are that the target pixel is lost, the target area is incomplete, etc. in the process.
Optical flow method: the method is a method for finding out the corresponding relation between the previous frame and the current frame by utilizing the change of pixels in an image sequence in a time domain and the correlation between adjacent frames, thereby calculating the motion information of the object between the adjacent frames. The method has the advantages that any scene information is not required to be known in advance, the calculation result is influenced by the interference of external factors, and the calculation is complex and difficult to realize.
Background subtraction: the basic idea is similar to the interframe difference method, and the target area is extracted by utilizing the difference operation of different images. However, unlike the inter-frame difference method, the background subtraction does not subtract the current frame image from the adjacent frame image, but subtracts the current frame image from a background model, and a moving object is extracted from the differential image. The method has the advantages that: the method has the advantages of good detection effect on the moving object under the complex background, simple realization, small calculation amount, accurate detection of the position, the contour and other information of the moving object, and the like, and has the defects that: is greatly influenced by the change of external conditions such as light, weather and the like.
Disclosure of Invention
Therefore, in order to solve the above-mentioned shortcomings, the present invention provides a small animal motion tracking method for setting a target search area. The method creatively introduces the area range of target tracking prediction on the basis of background subtraction by the former, thereby realizing the accuracy of target tracking and reducing external interference factors. The range of the area where the target is found and tracked is limited from the second frame of the video stream, so that the tracked target outline is more accurately identified, and the accuracy and anti-interference performance of target tracking are greatly improved for animal behavioral analysis.
The invention is realized in such a way, and constructs a small animal motion tracking method for setting a target searching area, which is characterized in that; the specific implementation process is as follows:
1) Defining the maximum speed V of the observed tracking animal before the video is opened and the animal enters the observation area;
2) Storing the background frame image;
3) After the two steps are completed, the video observation frequency frame is read in;
4) Making a difference to the current frame;
5) Then filtering, corroding and expanding the difference value; if the current frame is the first frame, searching a target contour in the whole image area;
6) Screening a target profile;
7) Extracting a geometric center point of a target;
8) Judging whether the value of the radius R1 of the contour area is empty or not, and acquiring the radius R1 of the contour if the radius of the contour area is empty;
9) If the radius R1 of the contour area is not empty, marking a target motion track point;
10 Reading in the second frame image, transferring to the step 4 to process downwards to judge if the second frame image is not the first frame image, and jumping to acquire the interval time T between the frame and the previous frame;
11 Calculating a target region radius R of the frame, r=t×v+r1;
12 After defining the target searching area by taking R as the radius, turning to the step 6, and screening the subsequent flow of the target contour.
The invention has the following advantages: the invention provides a small animal motion tracking method for a set target searching area. The method creatively introduces the area range of target tracking prediction on the basis of background subtraction by the former, thereby realizing the accuracy of target tracking and reducing external interference factors. The range of the area where the target is found and tracked is limited from the second frame of the video stream, so that the tracked target outline is more accurately identified, and the accuracy and anti-interference performance of target tracking are greatly improved for animal behavioral analysis.
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FIG. 1 is a flow chart corresponding to the motion tracking method of the present invention.
Detailed Description
The following detailed description of the present invention will be provided with reference to fig. 1, in which the technical solutions of the embodiments of the present invention are clearly and completely described, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a small animal motion tracking method for a set target searching area through improvement, which is characterized in that; the specific implementation process is as follows:
1) Defining the maximum speed V of the observed tracking animal before the video is opened and the animal enters the observation area;
2) Storing the background frame image;
3) After the two steps are completed, the video observation frequency frame is read in;
4) Making a difference to the current frame;
5) Then filtering, corroding, expanding and the like are carried out on the difference value; if the current frame is the first frame, searching a target contour in the whole image area;
6) Screening a target profile;
7) Extracting a geometric center point of a target;
8) Judging whether the value of the radius R1 of the contour area is empty or not, and acquiring the radius R1 of the contour if the radius of the contour area is empty;
9) If the radius R1 of the contour area is not empty, marking a target motion track point;
10 Reading in the second frame image, transferring to the step 4 to process downwards to judge if the second frame image is not the first frame image, and jumping to acquire the interval time T between the frame and the previous frame;
11 Calculating a target region radius R of the frame, r=t×v+r1;
12 After defining the target searching area by taking R as the radius, turning to the step 6, and screening the subsequent flow of the target contour.
The method creatively introduces the area range of target tracking prediction on the basis of background subtraction by the former, thereby realizing the accuracy of target tracking and reducing external interference factors. The range of the area where the target is found and tracked is limited from the second frame of the video stream, so that the tracked target outline is more accurately identified, and the accuracy and anti-interference performance of target tracking are greatly improved for animal behavioral analysis.
The previous description of the disclosed embodiments is provided to enable 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 applied to 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 (1)
1. A small animal motion tracking method for setting a target searching area is characterized in that; the specific implementation process is as follows:
1) Defining the maximum speed V of the observed tracking animal before the video is opened and the animal enters the observation area;
2) Storing the background frame image;
3) After the two steps are completed, the video observation frequency frame is read in;
4) Making a difference to the current frame;
5) Then filtering, corroding and expanding the difference value; if the current frame is the first frame, the target searching can only be carried out in the whole image area because the area where the tracking target is still not limited;
6) Screening a target profile;
7) Extracting a geometric center point of a target;
8) Judging whether the value of the radius R1 of the contour area is empty or not, and acquiring the radius R1 of the contour if the radius of the contour area is empty;
9) If the radius R1 of the contour area is not empty, marking a target motion track point;
10 Reading in the second frame image, transferring to the step 4 to process downwards to judge if the second frame image is not the first frame image, and jumping to acquire the interval time T between the frame and the previous frame;
11 Calculating a target region radius R of the frame, r=t×v+r1;
12 After defining the target searching area by taking R as the radius, turning to the step 6, and screening the subsequent flow of the target contour.
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| CN109859149B true CN109859149B (en) | 2023-08-08 |
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| CN110476826B (en) * | 2019-09-20 | 2021-08-27 | 成都泰盟软件有限公司 | Method for tracking animal autorotation circle |
| CN111131770A (en) * | 2019-12-10 | 2020-05-08 | 上海秒针网络科技有限公司 | Method and device for determining target placement area |
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| CN101141633B (en) * | 2007-08-28 | 2011-01-05 | 湖南大学 | Moving object detecting and tracing method in complex scene |
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| JP4922472B1 (en) * | 2011-09-29 | 2012-04-25 | 楽天株式会社 | Information processing apparatus, information processing method, information processing apparatus program, and recording medium |
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| JP2009100454A (en) * | 2007-09-26 | 2009-05-07 | Victor Co Of Japan Ltd | Moving object tracking control device |
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