Simple and universal fish school video image trajectory tracking method

Abstract

The invention discloses a simple and universal fish school video image trajectory tracking method, and relates to the field of video image trajectory tracking. Two characteristics that when most fishbodies swim in a two-dimensional plane, the area of an overlook angle is almost kept unchanged, and sudden change cannot occur in the swimming direction of the fish bodies in a short time are utilized; a nearest neighbor method is combined for fish swarm tracking; when a certain fish is tracked, firstly, fish bodies with large area difference are eliminated according to historical information of the fish, then, a connecting line of centers of mass of two continuous frames of fish bodies is adopted as the swimming direction of the fish bodies, and a target with too large direction angle difference is eliminated; finally, inter-frame correlation between front and back frames is performed on the coordinate position of the fish body by adopting a nearest neighbor method to complete tracking. An image corrosion method is adopted, and therefore the problem of mutual shielding of fish bodies is solved. Tracking results are more accurate. The method is easy to popularize and has a wide application prospect. The method can be used for researching fish behavioristics in various laboratories so as to obtain accurate action tracks of biological populations, construct a biological activity model or assist in verification hypothesis.

Description

technical field [0001] The invention relates to the field of video image trajectory tracking, in particular to a simple and general fish school video image trajectory tracking method. Background technique [0002] To study the swimming trajectory of fish in a normal environment and the behavior change trajectory under disturbance conditions (such as sound stimulation), it is often necessary to measure its behavioral parameters, such as moving distance, direction and distance speed, etc., to evaluate the impact of disturbance on its behavior , and the acquisition of these parameters needs to be based on the accurate tracking of fish movement trajectories. [0003] Early fish tracking only relied on observers to observe and record manually, and the tracking results were often rough and subjectivity of the observer, and the behavior of fish schools may be affected by the observer. With the advancement of science and technology, computer vision technology has been favored by ma...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a simple and universal fish school video image trajectory tracking method that adopts the image corrosion method to solve the problem of mutual occlusion of fish bodies, and the tracking result is more accurate, has universal applicability, and is easy to generalize and promote.

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