A study of fish velocity measurement base on video tracking

We can research the impact of water quality on fish activity by tracking and measuring the fish swim speed. In order to achieve the tracking and test the velocity to the fish movement under the complex background, the paper takes the method of video tracking algorithm based on the Background subtraction method and the Adaptive Kalman Filtering. Also it proposes the methods of image average processing and the sharpening processing to video in advance, so as to improve tracking accuracy and reduce loss of target. We recommend the way of setting the velocity threshold value because of the slow velocity change of the fish movement. The simulation results show that the tracking accuracy can be greatly improved.