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Volumn 4, Issue , 2004, Pages 745-750

A particle filter for tracking densely populated objects based on explicit multiview occlusion analysis

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROBABILITY STRUCTURE; MONTE CARLO FILTERS; MULTIVIEW OCCLUSION ANALYSIS; PARTICLE FILTER (PF);

EID: 10044234860     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333880     Document Type: Conference Paper
Times cited : (3)

References (11)
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  • 3
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    • 2Tracker: A multi-view approach to segmenting and tracking people in a cluttered scene
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    • Mittal, A.1    Davis, L.S.2
  • 5
    • 5044233974 scopus 로고    scopus 로고
    • Multiview occlusion analysis for tracking densely populated objects based on 2-D visual angles
    • to appear
    • K. Otsuka and N. Mukawa,"Multiview occlusion analysis for tracking densely populated objects based on 2-D visual angles," Proc. CVPR'04, 2004.(to appear)
    • (2004) Proc. CVPR'04
    • Otsuka, K.1    Mukawa, N.2
  • 6
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  • 7
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
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    • (1993) IEE Proc.-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 8
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    • A probabilistic exclusion principle for tracking multiple objects
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    • MacCormick, J.1    Blake, A.2
  • 9
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    • Switching observation models for contour tracking in clutter
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  • 10
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  • 11
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    • Multiple model bootstrap filte for maneuvering target tracking
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.