Tzu-Heng Wang

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Particle filtering is a popular algorithm for vision-based target tracking. Despite its effectiveness in many fields of tracking, however, the computation requirement of particle filters is high. In this paper we propose an algorithm and architecture for vision-based particle filters. The proposed algorithm can estimate objects’ positions, sizes, and angles(More)
For an intelligent multi-camera multi-object surveillance system, object correspondence across time and space is important to many smart visual applications. In this paper, we propose a temporal and spatial consistent labeling algorithm for this demand. In the algorithm, an object corresponding database records the temporal and spatial consistency(More)
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