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Volumn , Issue , 2007, Pages

Multi-class object tracking algorithm that handles fragmentation and grouping

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; GRAPH THEORY; MATHEMATICAL MODELS;

EID: 34948816669     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383175     Document Type: Conference Paper
Times cited : (69)

References (14)
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    • Gennari, G.1    Hager, G.D.2
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    • Split and merge data association filter for dense multi-target tracking
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    • Genovesio, A.1    Olivo-Marin, J.-C.2
  • 6
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    • Multitarget tracking with split and merged measurements
    • Z. Khan, T. Balch, and F. Dellaert. Multitarget tracking with split and merged measurements. In CVPR, 2005.
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    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 8
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    • Background subtraction using markov thresholds
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  • 9
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    • Multi-target tracking - linking identities using bayesian network inference
    • P. Nillius, J. Sullivan, and S. Carlsson. Multi-target tracking - linking identities using bayesian network inference. In CVPR, 2006.
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    • Nillius, P.1    Sullivan, J.2    Carlsson, S.3
  • 10
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    • From cluster tracking to people counting
    • A. Pece. From cluster tracking to people counting. In PETS, 2002.
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    • Pece, A.1
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    • Tracking people with probabilistic appearance models
    • A. Senior. Tracking people with probabilistic appearance models. In PETS, 2002.
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  • 12
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    • Learning patterns of activity using real-time tracking
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    • Tracking and labelling of interacting multiple targets
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    • Tracking multiple humans in crowded environment
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.