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Multi-object tracking in monocular video sequence is a challenging work when objects are occluded and objects' number is unknown or varies during tracking. In this paper, a multi-object parallel tracking method is proposed based on Bayesian framework. First, our method is designed to avoid huge amount of computation as required in multi-object joint tracking method. Second, our method can explicitly...
Multiple objects tracking is an important and challenging issue, because of difficulties caused by variable number of objects and interaction of objects. In this paper, we present a distributed tracking approach based on Bayesian framework to avoid huge computational expenses involved in sampling from a joint state space. Single-object trackers easily suffer from false identities of objects after...
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