Automated Planar Tracking the Waving Bodies of Multiple Zebrafish Swimming in Shallow Water.

ABSTRACT: Zebrafish (Danio rerio) is one of the most widely used model organisms in collective behavior research. 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. 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. To accomplish this task, we propose a novel fish body model that uses a chain of rectangles to represent fish body. Then in detection stage, the point of maximum curvature along fish boundary is detected and set as fish nose point. Afterwards, in tracking stage, we firstly apply Kalman fil

SUBMITTER: Wang SH 

PROVIDER: S-EPMC4851353 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature