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Volumn 22, Issue 2, 2011, Pages 178-186

Motion-based unusual event detection in human crowds

Author keywords

Adjacency matrix; Force field model; Human crowd analysis; Optical flows; Spatial temporal analysis; Unsupervised clustering; Unusual event detection; Video surveillance

Indexed keywords

ADJACENCY MATRICES; FORCE FIELD MODELS; HUMAN CROWD; SPATIAL TEMPORALS; UNSUPERVISED CLUSTERING; UNUSUAL EVENT DETECTION; VIDEO SURVEILLANCE;

EID: 79551683475     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2010.12.004     Document Type: Article
Times cited : (97)

References (18)
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    • Detecting contextual anomalies of crowd motion in surveillance video
    • Fan Jiang, Ying Wu, Aggelos K. Katsaggelos, Detecting contextual anomalies of crowd motion in surveillance video, in: Proceedings of the IEEE ICIP, 2009.
    • (2009) Proceedings of the IEEE ICIP
    • Jiang, F.1    Wu, Y.2    Katsaggelos, A.K.3
  • 10
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    • Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
    • X. Wang, X. Ma, and W.E.L. Grimson Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models IEEE Transactions on Pattern Analysis and Machine Intelligence 31 3 2008 539 555
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.31 , Issue.3 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, W.E.L.3
  • 15
    • 0035440561 scopus 로고    scopus 로고
    • A novel method for tracking and counting pedestrians in real-time using a single camera
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    • (2001) IEEE Transactions on Vehicular Technology , vol.50 , Issue.5 , pp. 1267-1278
    • Masoud, O.1    Papanikolopoulos, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.