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Tracking multiple moving targets in video is a challenge because of the presence of noisy video data and varying numbers of targets, and data association problems. In this paper, a multi-target visual tracking system that combines object detection with the Gaussian mixture probability hypothesis density filter is developed, in which a new birth intensity estimation method based on entropy distribution...
Multi-target visual tracking is a challenge because of data association and mutual occlusion in the interacting targets. This paper presents a Gaussian mixture probability hypothesis density based multi-target visual tracking system with game-theoretical occlusion handling. Firstly, the spatial constraint based appearance model with other interacting targets’ interferences is modeled. Then, a two-step...
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