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Volumn , Issue , 2007, Pages

MRF-based adaptive approach for foreground segmentation under sudden illumination change

Author keywords

Background modeling; MRF; Sudden illumination change

Indexed keywords

BOOLEAN FUNCTIONS; IMAGE ENHANCEMENT; SIGNAL PROCESSING; STRUCTURAL FRAMES;

EID: 50449085285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2007.4449538     Document Type: Conference Paper
Times cited : (6)

References (12)
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  • 3
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    • Separating non-stationary from stationary scene components in a sequence of real word TV-images
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    • K.Toyama, J.Krumm, B.Brumitt, and B.Meyers. Wallflower - Principle and practice of background maintenance, in Int. Conf. Computer Vision, pages 255-261, 1999.
    • K.Toyama, J.Krumm, B.Brumitt, and B.Meyers. "Wallflower - Principle and practice of background maintenance," in Int. Conf. Computer Vision, pages 255-261, 1999.
  • 7
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    • B. Stenger, V. Ramesh, N. Paragios, F. Coetzee and J.M. Buhmann, Topology free hidden markov models: application to background modeling, in Int. Conf. Computer Vision, pages 294-301, 2001.
    • B. Stenger, V. Ramesh, N. Paragios, F. Coetzee and J.M. Buhmann, "Topology free hidden markov models: application to background modeling," in Int. Conf. Computer Vision, pages 294-301, 2001.
  • 8
    • 0032163059 scopus 로고    scopus 로고
    • Statistical change detection with moments under time-varying illumination
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    • S.C.Liu, C.W.Fu, and S.Chang, "Statistical change detection with moments under time-varying illumination," IEEE Transaction on Image Processing, vol. 7, pp. 1258-1268, Sept. 1998.
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    • Liu, S.C.1    Fu, C.W.2    Chang, S.3
  • 10
    • 0036474806 scopus 로고    scopus 로고
    • Integrating intensity and texture differences for robust change detection
    • Feb
    • Liyuan Li, Maylor K. H. Leung, "Integrating intensity and texture differences for robust change detection," in IEEE Transaction on Image Processing, vol. 11. no. 2, Feb. 2002.
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  • 11
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    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
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  • 12
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    • Background modeling using time dependent Markov random field with image pyramid
    • January, dummy
    • Yue Zhou, Yihong Gong, and Hai Tao, "Background modeling using time dependent Markov random field with image pyramid," in Proc. IEEE Motion'05, January 2005. 6 dummy
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.