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Volumn , Issue , 2006, Pages 52-56

Detecting the degree of anomaly in security videos by using a spatio-temporal feature of change

Author keywords

1 class SVM; Security video; Surveillance

Indexed keywords

CAMERAS; COMPUTER SYSTEMS; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGING SYSTEMS; INTERNET PROTOCOLS; MULTIMEDIA SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 56649106516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 1
    • 3543105519 scopus 로고    scopus 로고
    • A Survey on Visual Surveillance of Object Motion and Behaviors
    • Part C, Man, and Cybernetics
    • W. Hu, T. Tan, L. Wang: "A Survey on Visual Surveillance of Object Motion and Behaviors", Proc. IEEE Trans. on Systems, Man, and Cybernetics Part C, Vol. 34, No. 3, pp.334-352, 2004.
    • (2004) Proc. IEEE Trans. on Systems , vol.34 , Issue.3 , pp. 334-352
    • Hu, W.1    Tan, T.2    Wang, L.3
  • 4
    • 33749628866 scopus 로고    scopus 로고
    • A completely autonomous system that learns anomalous movements in advanced video surveillance applications
    • ICPR
    • A. Mecocci and M. Pannozzo: "A completely autonomous system that learns anomalous movements in advanced video surveillance applications", Proc. IEEE International Conference on Pattern Recognition, ICPR2005.
    • (2005) Proc. IEEE International Conference on Pattern Recognition
    • Mecocci, A.1    Pannozzo, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.