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Volumn 2, Issue , 2010, Pages

Background modeling method based on improved multi-Gaussian distribution

Author keywords

Background modeling; Gaussian model; Motion detection; Standard deviation; Update rate

Indexed keywords

BACKGROUND MODELING; GAUSSIAN MODEL; MOTION DETECTION; STANDARD DEVIATION; UPDATE RATE;

EID: 78649612118     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCASM.2010.5619314     Document Type: Conference Paper
Times cited : (11)

References (7)
  • 1
    • 0041439660 scopus 로고    scopus 로고
    • Background subtraction based on cooccurrence of image variations
    • M. Seki, T. Wada, H. Fujiwara, and K. Sumi. "Background subtraction based on cooccurrence of image variations," Proc. CVPR 2003, Vol. 2, pp. 65-72.
    • (2003) Proc. CVPR , vol.2 , pp. 65-72
    • Seki, M.1    Wada, T.2    Fujiwara, H.3    Sumi, K.4
  • 3
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-time tracking [C]
    • CO, USA : IEEE
    • Stauffer C, Grimson W E L. Adaptive background mixture models for real-time tracking [C]//Computer Vision and Pattern Recognition. CO, USA : IEEE, 1999 : 246-250.
    • (1999) Computer Vision and Pattern Recognition , pp. 246-250
    • Stauffer, C.1    Grimson, W.E.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.