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Volumn 21, Issue 2, 2014, Pages 190-194

Online discriminative structured output SVM learning for multi-target tracking

Author keywords

Multi target tracking; online learning; structured output SVM

Indexed keywords

FEATURE COMBINATION; MULTI-TARGET TRACKING; MULTIPLE FEATURES; ONLINE DISCRIMINATIVE LEARNING; ONLINE LEARNING; ONLINE LEARNING ALGORITHMS; STATE-OF-THE-ART METHODS; STRUCTURED OUTPUT SVM;

EID: 84892502530     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2013.2296602     Document Type: Article
Times cited : (7)

References (19)
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  • 7
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    • DOI 10.1109/TSP.2006.889470
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    • (2007) IEEE Transactions on Signal Processing , vol.55 , Issue.5 , pp. 1589-1604
    • Morelande, M.R.1    Kreucher, C.M.2    Kastella, K.3
  • 11
    • 84942832288 scopus 로고    scopus 로고
    • To track or to detect? An ensemble framework for optimal selection
    • X. Yan, X.Wu, I. A. Kakadiaris, and S. K. Shah, "To track or to detect? An ensemble framework for optimal selection," ECCV, 2012.
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    • Yan, X.1    Wu, X.2    Kakadiaris, I.A.3    Shah, S.K.4
  • 12
    • 84899448230 scopus 로고    scopus 로고
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  • 15
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    • Joachims, T.1    Finley, T.2    Yu, C.N.J.3
  • 19
    • 84866644597 scopus 로고    scopus 로고
    • Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.