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Volumn 1, Issue , 2006, Pages 412-416

Event recognition with fragmented object tracks

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FUNCTIONS; MATHEMATICAL MODELS; MOTION CONTROL; TRACKING (POSITION);

EID: 34047215815     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.513     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 1
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    • J. Black, T. Ellis, and P. Rosin. A novel method for video tracking performance evaluation. In PETS, pages 125-132, 2003.
    • (2003) PETS , pp. 125-132
    • Black, J.1    Ellis, T.2    Rosin, P.3
  • 4
    • 10044223102 scopus 로고    scopus 로고
    • Detecting rare events in video using semantic primitives with HMM
    • M. Chan, A. Hoogs, J. Schmiederer, and M. Petersen. Detecting rare events in video using semantic primitives with HMM. In Proc. ICPR, volume 4, pages 150-154, 2004.
    • (2004) Proc. ICPR , vol.4 , pp. 150-154
    • Chan, M.1    Hoogs, A.2    Schmiederer, J.3    Petersen, M.4
  • 5
    • 0033682434 scopus 로고    scopus 로고
    • Real-time tracking of non-Rigid objects using mean shift
    • D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-Rigid objects using mean shift. In Proc. CVPR, volume 2, pages 142-149, 2000.
    • (2000) Proc. CVPR , vol.2 , pp. 142-149
    • Comaniciu, D.1    Ramesh, V.2    Meer, P.3
  • 6
    • 0344983339 scopus 로고    scopus 로고
    • Recognition of group activities using dynamic probabilistic networks
    • S. Gong and T. Xiang. Recognition of group activities using dynamic probabilistic networks. In Proc. ICCV, pages 742-749, 2003.
    • (2003) Proc. ICCV , pp. 742-749
    • Gong, S.1    Xiang, T.2
  • 7
    • 9444290414 scopus 로고    scopus 로고
    • E: A hierarchical event representation for the analysis of video
    • E: a hierarchical event representation for the analysis of video. In Proc. Natl. Conf. on AI, pages 263-268, 2004.
    • (2004) Proc. Natl. Conf. on AI , pp. 263-268
    • Hakeem, A.1    Sheikh, Y.2    Shah, M.3
  • 8
    • 4944221737 scopus 로고    scopus 로고
    • Video-based event recognition: Activity representation and probabilistic recognition methods
    • November
    • S. Hongeng, R. Nevatia, and F. Bremond. Video-based event recognition: activity representation and probabilistic recognition methods. CVIU, 96(2): 129-162, November 2004.
    • (2004) CVIU , vol.96 , Issue.2 , pp. 129-162
    • Hongeng, S.1    Nevatia, R.2    Bremond, F.3
  • 9
    • 0032596469 scopus 로고    scopus 로고
    • A framework for recognizing multi-agent action from visual evidence
    • S. Intille and A. Bobick. A framework for recognizing multi-agent action from visual evidence. In Proc. Natl. Conf. on AI, pages 518-525, 1999.
    • (1999) Proc. Natl. Conf. on AI , pp. 518-525
    • Intille, S.1    Bobick, A.2
  • 10
    • 33745127415 scopus 로고    scopus 로고
    • A unified framework for tracking through occlusions and across sensor gaps
    • R. Kaucic, A. G. A. Perera, G. Brooksby, J. Kaufhold, and A. Hoogs. A unified framework for tracking through occlusions and across sensor gaps. In Proc. CVPR, pages 990-997, 2005.
    • (2005) Proc. CVPR , pp. 990-997
    • Kaucic, R.1    Perera, A.G.A.2    Brooksby, G.3    Kaufhold, J.4    Hoogs, A.5
  • 12
    • 10044240248 scopus 로고    scopus 로고
    • Event semantics in two-person interactions
    • S. Park and J. K. Aggarwal. Event semantics in two-person interactions. In Proc. ICPR, volume 4, pages 227-230, 2004.
    • (2004) Proc. ICPR , vol.4 , pp. 227-230
    • Park, S.1    Aggarwal, J.K.2
  • 14
    • 0344983291 scopus 로고    scopus 로고
    • A background layer model for object tracking through occlusion
    • Y. Zhou and H. Tao. A background layer model for object tracking through occlusion. In Proc. ICCV, pages 1079-1085, 2003.
    • (2003) Proc. ICCV , pp. 1079-1085
    • Zhou, Y.1    Tao, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.