Parallax-based three-dimensional trajectory tracking method of fish movement

Abstract

The invention discloses a parallax-based three-dimensional trajectory tracking method of fish movement. The parallax-based three-dimensional trajectory tracking method comprises the following steps: performing histogram equalization and difference operation on two input camera capture images, to obtain a fish movement region in the image, quickly and effectively extracting the fish outline from the original image according to gray scale information of the movement region; secondly, automatically extracting a centroid from the outline image by using a centroid tracking algorithm; then, performing three-dimensional reconstruction on two centroids by a parallax method; finally, combining all three-dimensional points, to obtain a three-dimensional trajectory of fish in stereoscopic vision. The parallax-based three-dimensional trajectory tracking method is applicable to complex environment in biological water quality monitoring process, can track the target accurately and can observe the fish trajectory in a three-dimensional space, so as to reflect the reaction results of the change of water quality on fish movement in time.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to a method for accurately tracking three-dimensional trajectories of fish objects by collecting fish behaviors through binocular cameras. technical background [0002] High-speed economic development has brought inevitable disasters to the environment, and the water environment has been deeply affected, becoming the ultimate receiver of pollution. Therefore, how to establish an effective water environment quality monitoring system and prevent and control water pollution has become a problem that has been paid close attention to both at home and abroad. Actively invest in reliable monitoring and timely early warning of water quality concerns and water safety, so that the management of water quality and the research on water pollution prevention and control methods have become more and more important. The biological method is commonly used in water environmental monitoring, ...

AI Technical Summary

Problems solved by technology

However, in the actual monitoring of fish movement, the two-dimensional movement trajectory cannot accurately describe the movement characteristics of the physical fish. Without three-dimensional depth information, the fish movement trajectory cannot accurately and effectively reflect the impact of water quality changes on it.

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