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Volumn , Issue , 2010, Pages

Probabilistic latent sequential motifs: Discovering temporal activity patterns in video scenes

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY MODELING; ACTIVITY PATTERNS; LATENT VARIABLE; LOW-LEVEL MOTIONS; SEQUENTIAL ACTIVITIES; SEQUENTIAL PATTERNS; TEMPORAL WINDOWS; VIDEO ACTIVITY;

EID: 84898422540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.117     Document Type: Conference Paper
Times cited : (25)

References (16)
  • 6
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    • T. Hofmann. Unsupervised learning by probability latent semantic analysis. Machine Learning, 42:177-196, 2001.
    • (2001) Machine Learning , vol.42 , pp. 177-196
    • Hofmann, T.1
  • 7
    • 85085175172 scopus 로고    scopus 로고
    • A Markov clustering topic model for mining behavior in video
    • Kyoto, Japan
    • Timothy Hospedales, S. Gong, and Tao Xiang. A markov clustering topic model for mining behavior in video. In ICCV, Kyoto, Japan, 2009.
    • (2009) ICCV
    • Gong, T.H.S.1    Xiang, T.2
  • 8
    • 84898442935 scopus 로고    scopus 로고
    • Global behaviour inference using probabilistic latent semantic analysis
    • Jian Li, S. Gong, and T. Xiang. Global behaviour inference using probabilistic latent semantic analysis. In British Machine Vision Conference, 2008.
    • (2008) British Machine Vision Conference
    • Gong, J.L.S.1    Xiang, T.2
  • 9
    • 77953216518 scopus 로고    scopus 로고
    • Discovering multi-camera behaviour correlations for on-the-fly global activity prediction and anomaly detection
    • Kyoto, Japan
    • Jian Li, S. Gong, and T. Xiang. Discovering multi-camera behaviour correlations for on-the-fly global activity prediction and anomaly detection. In IEEE International Workshop on Visual Surveillance, Kyoto, Japan, 2009.
    • (2009) IEEE International Workshop on Visual Surveillance
    • Gong, J.L.S.1    Xiang, T.2
  • 11
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • C. Stauffer and E L. Grimson. Learning patterns of activity using real-time tracking. IEEE Trans. on PAMI, 22:747-757, 2000.
    • (2000) IEEE Trans. on PAMI , vol.22 , pp. 747-757
    • Stauffer, C.1    Grimson, E.L.2
  • 14
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models
    • Xiaogang Wang, Xiaoxu Ma, and Eric L. Grimson. Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. IEEE Trans. on PAMI, 31(3):539-555, 2009.
    • (2009) IEEE Trans. on PAMI , vol.31 , Issue.3 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, E.L.3
  • 15
    • 41749113798 scopus 로고    scopus 로고
    • Video behavior profiling for anomaly detection
    • T. Xiang and S. Gong. Video behavior profiling for anomaly detection. IEEE Trans. on PAMI, 30(5):893-908, 2008.
    • (2008) IEEE Trans. on PAMI , vol.30 , Issue.5 , pp. 893-908
    • Xiang, T.1    Gong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.