Afterwards, in tracking stage, we firstly apply Kalman filter to track fish head, then use rectangle chain fitting to fit fish body, which at the same time further judge the head tracking results and remove the incorrect ones. Then in detection stage, the point of maximum curvature along fish boundary is detected and set as fish nose point. To accomplish this task, we propose a novel fish body model that uses a chain of rectangles to represent fish body. However, due to difficulties such as their similar appearance, complex body deformation and frequent occlusions, it is a big challenge for an automated system to be able to reliably track the body geometry of each individual fish. Multi-object tracking with high speed camera is currently the most feasible way to accurately measure their motion states for quantitative study of their collective behavior. Zebrafish ( Danio rerio) is one of the most widely used model organisms in collective behavior research.
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