Abstract：Fish tracking is the basis of fish behavior analysis, when tracking fish in water, the target fish will be difficult to track because of the change of posture and the influence of the occlusion or light of the surrounding fish or object. In order to solve the above problem, a method of tracking fish body by combining Mobilenet-SSD(SSD, single shot multibox detector) with Dlib association tracker was proposed. The fish body in video is accurately detected by SSD algorithm, and then the information is input into Dlib association tracker, which makes the tracking object location more accurate and improves the robustness of fish body tracking when the movement of fish in water occured and the light changes. The experimental results show that the performance of the mentioned method in fish tracking video is obviously better than that of other algorithms, the tracking success rate in different environments is more than 90%.
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2021, Vol. 42 
