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	Condensation-based Multi-person Tracking using an Online SVM Approach
	Tianyu Yang; Baopu Li; Can Yang; Max Q.-H.Meng; Guoqing Xu
	2013
会议名称	2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
会议地点	Shenzhen, China
英文摘要	We propose a multi-person tracking framework using only one single camera in this paper. We utilize particle filter as the tracking framework and train a SVM classifier by reliable examples extracted from associated detections without occlusion. Based on the results of data association, we integrate the target's velocity into weights calculation to handle object occlusion assuming that fast-moving target is not likely to change directions abruptly because of inertia. In addition, we design a new data association method whose affinity measure is computed by the classifier score judged on candidate image patch, the distance and size similarity of two rectangles. The experiments reveal that our method obtains a better performance compared with other state-of-the-art algorithms for PETS'09 videos S2 L1.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4538]
专题	深圳先进技术研究院_集成所
作者单位	2013
推荐引用方式 GB/T 7714	Tianyu Yang,Baopu Li,Can Yang,et al. Condensation-based Multi-person Tracking using an Online SVM Approach[C]. 见:2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013. Shenzhen, China.

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