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This paper proposes a reliable 3D fish tracking method using a novel master-slave camera setup. Instead of conventional dynamic models that rely on prior knowledge about target kinematics, the proposed method learns the kinematic model with a Long Short-Term Memory (LSTM) network. On this basis, the 3D state of fish at each moment is predicted by LSTM network. We propose to use an innovative master-view-tracking-first...
Accurately and reliably tracking the undulatory motion of deformable fish body is of great significance for not only scientific researches but also practical applications such as robot design and computer graphics. However, it remains a challenging task due to severe body deformation, erratic motion and frequent occlusions. This paper proposes a tracking method which is capable of tracking the midlines...
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