Zhongqian Sun

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Occlusions are challenging issue for robust visual tracking. In this paper, motivated by the fact that a tracked object is usually embedded into context that provides useful information for estimating the target, we propose a novel tracking algorithm named Tracking with Context Prediction (TCP). The context here includes the neighboring objects and specific(More)
Traditional mean shift method has the limitation that could not effectively adjust kernel bandwidth to represent object accurately. To address this problem, in this paper, we propose a novel contour tracking algorithm using a determined binary level set model (DBLSM) based on mean shift procedure. In contrast with other previous work, the computational(More)
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