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Volumn 2, Issue , 2005, Pages 586-589

A completely autonomous system that learns anomalous movements in advanced videosurveillance applications

Author keywords

[No Author keywords available]

Indexed keywords

ALTRUISTIC VECTOR QUANTIZATION (AVQ); ANOMALOUS EVENTS; SELF-LEARNED REPRESENTATIONS; VISUAL TRAJECTORIES;

EID: 33749628866     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530123     Document Type: Conference Paper
Times cited : (27)

References (7)
  • 4
    • 35948995212 scopus 로고    scopus 로고
    • Trajectory pattern detection by HMM parameter space features and eigenvector clustering
    • May
    • F.M. Porikli, "Trajectory Pattern Detection by HMM Parameter Space features and Eigenvector Clustering", European Conference on Computer Vision (ECCV), May 2004.
    • (2004) European Conference on Computer Vision (ECCV)
    • Porikli, F.M.1
  • 5
    • 0000470942 scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • Birmingham, England
    • Johnson, N and Hogg, D C, "Learning the Distribution of Object Trajectories for Event Recognition", Proc. BMVC95, Birmingham, England, 1995.
    • (1995) Proc. BMVC95
    • Johnson, N.1    Hogg, D.C.2
  • 6
    • 84942588890 scopus 로고    scopus 로고
    • Automatic detection of anomalous behavioural events for advanced real-time video surveillance
    • Wien
    • Mecocci A., Pannozzo M. Fumarola A. "Automatic detection of anomalous behavioural events for advanced real-time video surveillance" IEEE CIMSA '03, Wien, pp. 187-192, 2003.
    • (2003) IEEE CIMSA '03 , pp. 187-192
    • Mecocci, A.1    Pannozzo, M.2    Fumarola, A.3
  • 7
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen T. "The Self-Organizing Map", Proceedings of The IEEE, 78(9): pp. 1464-1480, 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.