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Volumn , Issue , 2011, Pages 119-123

Modeling of moving object trajectory by spatio-temporal learning for abnormal behavior detection

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; COMPLEX SCENES; MOVING OBJECT TRAJECTORIES; SIMILARITY MEASURE; SPATIO-TEMPORAL LEARNING; SPATIO-TEMPORAL PROPERTIES; TEMPORAL ORDER; TOPIC MODEL; TRAJECTORY ANALYSIS;

EID: 80054002144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2011.6027305     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 9
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. In Proceedings of the IEEE, pages 257-286, 1989.
    • (1989) Proceedings of the IEEE , pp. 257-286
    • Rabiner, L.R.1
  • 15
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
    • X. Wang, X. Ma, and W. Grimson. Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3):539, 2009.
    • (2009) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.31 , Issue.3 , pp. 539
    • Wang, X.1    Ma, X.2    Grimson, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.