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论文类型：会议论文

发表时间：2011-09-11

收录刊物：EI、CPCI-S、Scopus

页面范围：477-480

关键字：visual tracking; object tracking; superpixel; Incremental PCA; multi-state particle filter; SBPMC

摘要：In this paper, we propose a tracking algorithm which combines two complementary trackers together to supervise each other in dealing with different tracking problems. We design a region tracker based on high-level structure information (incremental PCA), and an object tracker based on mid-level visual cues, and adopt multi-state particle filter to integrate them into a robust tracking framework. While region tracker is more robust to scaling and in-plane rotation, object tracker is more competent in dealing with out-of-plane rotation and deformation. Experiment shows that these two tracker supervise each other against different challenges, and our Complementary Visual Tracking (CVT) framework can resist scaling, deformation, in-plane rotation and out-of-plane rotation simultaneously.