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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...
Object tracking is a key step of video analysis, while a motion model is crucial for object tracking. Concerning videos captured with fixed cameras, a sequence of a target's motion data may suggest the target's kinematic model with respect to the imaging system. In this paper we model the target's kinematic model by learning a long short-term memory network. This kinematic model can serve as a discriminative...
Automatically and reliably tracking numerous flying objects in 3D space is of great significance for not only scientific researches such as collective behavior analysis, but also practical applications such as designing multi-agent robots. However, it remains a challenging task due to the large population, similar appearance, and severe occlusion happening in 2D images. This paper proposes a 3D tracking...
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