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	An Improved Unscented Particle Filter for Visual Hand Tracking
	Hanxuan Yang; Zhan Song; Runen Chen
	2010
会议名称	2010 3rd International Congress on Image and Signal Processing, CISP 2010
英文摘要	Hand tracking is an active research topic in Human Computer Interaction (HCI). In this paper, we present an improved Unscented Particle Filter (UPF) combined with the incremental Principle Component Analysis (IPCA) method for the visual hand tracking. The Singular Value Decomposition (SVD) approach is introduced to compute the sigma points and then to obtain the proposal distribution within the Unscented Kalman Filter (UKF) framework. The experiments are conducted on an indoor scene with complex background and the results are also compared with some traditional tracking methods to show its strong robustness and higher tracking precision
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/172644/2850]
专题	深圳先进技术研究院_集成所
作者单位	2010
推荐引用方式 GB/T 7714	Hanxuan Yang,Zhan Song,Runen Chen. An Improved Unscented Particle Filter for Visual Hand Tracking[C]. 见:2010 3rd International Congress on Image and Signal Processing, CISP 2010.

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