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Volumn , Issue , 2008, Pages 1551-1554

Video Activity Recognition in the Real World

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; MOTION ANALYSIS; PATTERN RECOGNITION;

EID: 84949724127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 1
    • 10044223102 scopus 로고    scopus 로고
    • Detecting rare events in video using semantic primitives with HMM
    • Chan, M.; Hoogs, A.; Schmiederer, J.; and Petersen, M. 2004. Detecting rare events in video using semantic primitives with HMM. In Proc. ICPR, volume 4, 150–154.
    • (2004) Proc. ICPR , vol.4 , pp. 150-154
    • Chan, M.1    Hoogs, A.2    Schmiederer, J.3    Petersen, M.4
  • 4
    • 0344983339 scopus 로고    scopus 로고
    • Recognition of group activities using dynamic probabilistic networks
    • Gong, S., and Xiang, T. 2003. Recognition of group activities using dynamic probabilistic networks. In Proc. ICCV, 742–749.
    • (2003) Proc. ICCV , pp. 742-749
    • Gong, S.1    Xiang, T.2
  • 5
    • 4944221737 scopus 로고    scopus 로고
    • Video-based event recognition: activity representation and probabilistic recognition methods
    • Hongeng, S.; Nevatia, R.; and Bremond, F. 2004. Video-based event recognition: activity representation and probabilistic recognition methods. CVIU 96(2):129–162.
    • (2004) CVIU , vol.96 , Issue.2 , pp. 129-162
    • Hongeng, S.1    Nevatia, R.2    Bremond, F.3
  • 6
    • 0032596469 scopus 로고    scopus 로고
    • A framework for recognizing multi-agent action from visual evidence
    • Intille, S., and Bobick, A. 1999. A framework for recognizing multi-agent action from visual evidence. In Proc. Natl. Conf. on AI, 518–525.
    • (1999) Proc. Natl. Conf. on AI , pp. 518-525
    • Intille, S.1    Bobick, A.2
  • 7
    • 35548930762 scopus 로고    scopus 로고
    • Local velocity-adapted motion events for spatio-temporal recognition
    • Laptev, I.; Caputo, B.; Schüldt, C.; and Lindeberg, T. 2007. Local velocity-adapted motion events for spatio-temporal recognition. CVIU 108(3):207–229.
    • (2007) CVIU , vol.108 , Issue.3 , pp. 207-229
    • Laptev, I.1    Caputo, B.2    Schüldt, C.3    Lindeberg, T.4
  • 11
    • 20444410793 scopus 로고    scopus 로고
    • Learning semantic scene models from observing activity in visual surveillance
    • Makris, D., and Ellis, T. 2005. Learning semantic scene models from observing activity in visual surveillance. IEEE T. SMC-B 35(3).
    • (2005) IEEE T. SMC-B , vol.35 , Issue.3
    • Makris, D.1    Ellis, T.2
  • 13
    • 33845592424 scopus 로고    scopus 로고
    • Multi-object tracking through simultaneous long occlusions and split-merge conditions
    • Perera, A.; Srinivas, C.; Hoogs, A.; Brooksby, G.; and Hu, W. 2006. Multi-object tracking through simultaneous long occlusions and split-merge conditions. In Proc. CVPR.
    • (2006) Proc. CVPR.
    • Perera, A.1    Srinivas, C.2    Hoogs, A.3    Brooksby, G.4    Hu, W.5
  • 14
    • 50949109198 scopus 로고    scopus 로고
    • Learning motion patterns in surveillance video using hmm clustering
    • Swears, E.; Hoogs, A.; and Perera, A. G. A. 2008. Learning motion patterns in surveillance video using hmm clustering. In WMVC.
    • (2008) WMVC
    • Swears, E.1    Hoogs, A.2    Perera, A. G. A.3
  • 15
    • 33745901086 scopus 로고    scopus 로고
    • Video behaviour profiling and abnormality detection without manual labelling
    • Xiang, T., and Gong, S. 2005. Video behaviour profiling and abnormality detection without manual labelling. In Proc. ICCV, volume 2, 1238–1245.
    • (2005) Proc. ICCV , vol.2 , pp. 1238-1245
    • Xiang, T.1    Gong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.