中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cooperative fusion particle filter tracker

文献类型:期刊论文

作者Wang LingFeng1; Yan HongPing2; Pan ChunHong1
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期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
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).

入库方式: OAI收割

来源:自动化研究所

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