| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 94 === Multiple human tracking is an important research topic in computer vision. In a crowded environment, occlusions occur frequently that makes the tracking problem even more challenging. This thesis presents a multi-view-based cooperative tracking of multiple human objects. Based on the homographic relation between two views, we proposed a so-called cooperative tracking which consists of particle filter tracking for the objects in different views. The multiple view tracking is modeled as different sequences of hidden process and observation. In addition, based on the interaction among the targets, a hidden variable is added in to reveal the reliability of the tracking result in that specific view. With this hidden variable, the cooperative tracking allocates computational resources for tracking the objects in different views. Experimental results show the efficiency of the proposed method.
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