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
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2013-07-01
卷号	23 期号:7 页码:1197-1208
文章类型	Article
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.
关键词	Chamfer Matching Kernel-bayesian Framework Mixture Of Gaussians (Mog) Selective Updating
WOS标题词	Science & Technology ; Technology
关键词[WOS]	VISUAL TRACKING ; PARTICLE FILTERS ; OBJECT TRACKING ; MODELS ; RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000321276900011
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3263
专题	多模态人工智能系统全国重点实验室_视频内容安全
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.