Covariance Tracking via Geometric Particle Filtering

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	Covariance Tracking via Geometric Particle Filtering
	Liu YP(刘云鹏); Li GW(李广伟); Shi ZL(史泽林)
刊名	EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
	2010
页码	1-9
关键词	VISUAL TRACKING OBJECT TRACKING MODELS
ISSN号	1687-6180
产权排序	1
中文摘要	Region covariance descriptor recently proposed has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking. We develop a geometric method for visual tracking, in which region covariance is used to model objects appearance; then tracking is led by implementing the particle filter with the constraint that the system state lies in a low dimensional manifold: affine Lie group. The sequential Bayesian updating consists of drawing state samples while moving on the manifold geodesics; the region covariance is updated using a novel approach in a Riemannian space. Our main contribution is developing a general particle filtering-based racking algorithm that explicitly take the geometry of affine Lie groups into consideration in deriving the state equation on Lie groups. Theoretic analysis and experimental evaluations demonstrate the promise and effectiveness of the proposed tracking method.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Electrical & Electronic
研究领域[WOS]	Engineering
关键词[WOS]	VISUAL TRACKING ; OBJECT TRACKING ; MODELS
收录类别	SCI ; EI
资助信息	This work is partly supported by the National Natural Science Foundation of China (Grant no. 60603097) and the National Defense Innovation Foundation of Chinese Academy Sciences (CXJJ-65).
语种	英语
WOS记录号	WOS:000282898500001
公开日期	2012-05-29
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/7158]
专题	沈阳自动化研究所_光电信息技术研究室
推荐引用方式 GB/T 7714	Liu YP,Li GW,Shi ZL. Covariance Tracking via Geometric Particle Filtering[J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2010:1-9.
APA	Liu YP,Li GW,&Shi ZL.(2010).Covariance Tracking via Geometric Particle Filtering.EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,1-9.
MLA	Liu YP,et al."Covariance Tracking via Geometric Particle Filtering".EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2010):1-9.