Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework

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	Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework
	Zhang, Xiaoqin 1; Hu, Weiming2 ; Bao, Hujun 3; Maybank, Steve 4
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2013-07-01
卷号	23 期号:7 页码:1197-1208
关键词	Chamfer matching kernel-Bayesian framework mixture of Gaussians (MoG) selective updating
英文摘要	This paper presents a robust head tracking algorithm based on multiple cues fusion in a kernel-Bayesian framework. In this algorithm, the object to be tracked is characterized using a spatial-constraint mixture of the Gaussians-based appearance model and a multichannel chamfer matching-based shape model. These two models complement each other and their combination is discriminative in distinguishing the object from the background. A selective updating technique for the appearance model is employed to accommodate appearance and illumination changes. Meantime, the kernel method-mean shift algorithm is embedded into the Bayesian framework to give a heuristic prediction in the hypotheses generation process. This alleviates the great computational load suffered by conventional Bayesian trackers. Experimental results demonstrate that the proposed algorithm is effective.
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 ; PARTICLE FILTERS ; OBJECT TRACKING ; MODELS ; RECOGNITION
收录类别	SCI
语种	英语
WOS记录号	WOS:000321276900011
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3263]
专题	自动化研究所_模式识别国家重点实验室_视频内容安全团队
作者单位	1.Wenzhou Univ, Inst Intelligent Syst & Decis, Wenzhou 325035, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 3.Zhejiang Univ, State Key Lab CAD&CG, Hangzhou 310027, Zhejiang, Peoples R China 4.Univ London Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England
推荐引用方式 GB/T 7714	Zhang, Xiaoqin,Hu, Weiming,Bao, Hujun,et al. Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2013,23(7):1197-1208.
APA	Zhang, Xiaoqin,Hu, Weiming,Bao, Hujun,&Maybank, Steve.(2013).Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,23(7),1197-1208.
MLA	Zhang, Xiaoqin,et al."Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 23.7(2013):1197-1208.