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Visual target tracking via weighted non-sparse representation and online metric learning
Duan, Jingdi; Fan BJ(范保杰); Cong Y(丛杨)
Department机器人学研究室
Conference Name2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
Conference DateDecember 12-14, 2013
Conference PlaceShenzhen, China
Source Publication2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
PublisherIEEE
Publication PlaceNew York
2013
Pages2691-2695
Indexed ByEI ; CPCI(ISTP)
EI Accession number20141717633124
WOS IDWOS:000352739000449
Contribution Rank3
ISBN978-1-4799-2744-9
KeywordBiomimetics Graphic Methods Robotics Target Tracking
AbstractIn this paper, we propose online metric learning tracking method that consider visual tracking as a similarity measurement problem, and incorporates adaptive metric learning and generative histogram model based on non-sparse linear representation into the target tracking framework. We propose a generative histogram model based on non-sparse linear representation, which make full use of the non-sparse coefficients to discriminate between the target and the background. The similarity metric is adaptively learned online to maximize the margin of the distance between the foreground target and background. A bi-linear graph is defined accordingly to propagate the label of each sample. The model can also self-update using the more confident new samples. Numerous experiments on various challenging videos demonstrate that the proposed tracker performs favorably against several state-of-the-art algorithms. © 2013 IEEE.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/14771
Collection机器人学研究室
Corresponding AuthorDuan, Jingdi
Affiliation1.Neusoft Corporation, Shenyang 110179, China
2.College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China
3.State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China
Recommended Citation
GB/T 7714
Duan, Jingdi,Fan BJ,Cong Y. Visual target tracking via weighted non-sparse representation and online metric learning[C]. New York:IEEE,2013:2691-2695.
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