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	A Multi-Features based Partial Filtering Algorithm for Robust and Efficient Object Tracking
	Shuang Ye; Yanguo Zhao; Feng Zheng; Zhan Song
	2012
会议名称	International Conference on Multimedia and Signal Processing (CMSP)
会议地点	中国
英文摘要	This works presents a novel approach for robust and efficient object tracking. To make the feature representation more robust, color and the local binary pattern features are fused via a proposed scheme. The partial filter is used for the feature tracking. To improve its efficiency, a mean shift based method is introduced to decrease the required partials so as to decrease the computation cost. With the robust multi-features description and boosted partial filter algorithm, satisfied tracking results can be obtained via the experiments with different datasets, and showed distinct improvements in both tracking robustness and efficiency.
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/172644/3922]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Shuang Ye,Yanguo Zhao,Feng Zheng,et al. A Multi-Features based Partial Filtering Algorithm for Robust and Efficient Object Tracking[C]. 见:International Conference on Multimedia and Signal Processing (CMSP). 中国.

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