Cooperative fusion particle filter tracker

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	Cooperative fusion particle filter tracker
	Wang LingFeng1 ; Yan HongPing 2; Pan ChunHong1
刊名	SCIENCE CHINA-INFORMATION SCIENCES
	2014-08-01
卷号	57 期号:8
关键词	visual tracking multi-cue fusion cooperative fusion CoFPF-tracker sum-tracker product-tracker
英文摘要	Robust visual tracking has become an important topic in the field of computer vision. Integrating multiple cues has proved to be a promising approach to visual tracking in situations where no single cue is suitable. In this work, a new particle filter based visual tracking algorithm is proposed. By introducing a new cooperative fusion strategy, the proposed tracker has better fault tolerance ability than the traditional methods. Experiments are performed in various tracking scenes to evaluate the proposed algorithm, and the results show improved tracking accuracy.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems
研究领域[WOS]	Computer Science
关键词[WOS]	VISUAL TRACKING ; OBJECT TRACKING ; CUE INTEGRATION ; MULTIPLE CUES ; HISTOGRAMS ; GRADIENTS
收录类别	SCI
语种	英语
WOS记录号	WOS:000339365500013
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3724]
专题	自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.China Univ Geosci, Coll Informat & Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Wang LingFeng,Yan HongPing,Pan ChunHong. Cooperative fusion particle filter tracker[J]. SCIENCE CHINA-INFORMATION SCIENCES,2014,57(8).
APA	Wang LingFeng,Yan HongPing,&Pan ChunHong.(2014).Cooperative fusion particle filter tracker.SCIENCE CHINA-INFORMATION SCIENCES,57(8).
MLA	Wang LingFeng,et al."Cooperative fusion particle filter tracker".SCIENCE CHINA-INFORMATION SCIENCES 57.8(2014).