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Volumn , Issue , 2006, Pages 5-

Dynamic control of adaptive mixture-of-Gaussians background model

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; LIGHTING; MATHEMATICAL MODELS; OBJECT RECOGNITION;

EID: 34547274240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2006.44     Document Type: Conference Paper
Times cited : (88)

References (9)
  • 1
    • 33645307063 scopus 로고    scopus 로고
    • Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance
    • A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis. "Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance". Proceedings of the IEEE, 90(7):1151-1163, 2002.
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.4
  • 2
    • 13344250629 scopus 로고    scopus 로고
    • Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling
    • B. Han, D. Comaniciu, and L. Davis. "Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling". Asian Conference on Computer Vision 2004, pages 818-823, 2004.
    • (2004) Asian Conference on Computer Vision 2004 , pp. 818-823
    • Han, B.1    Comaniciu, D.2    Davis, L.3
  • 3
    • 84950000200 scopus 로고    scopus 로고
    • A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models
    • M. Harville. "A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models", the 7th European Conference on Computer Vision, (III):543-560, 2002.
    • (2002) the 7th European Conference on Computer Vision, (III):543-560
    • Harville, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.