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Volumn , Issue , 2008, Pages 93-100

Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity

Author keywords

Background subtraction; Kde; Low level segmentation; Non parametric estimation

Indexed keywords

BACKGROUND SUBTRACTION; COMPLEX ENVIRONMENTS; DENSITY ESTIMATION; INITIAL ESTIMATE; INTELLIGENT DECISIONS; LIKELIHOOD FUNCTIONS; LOW LEVEL; NON-BINARY; NON-PARAMETRIC; NON-PARAMETRIC ESTIMATIONS; PIXEL LEVEL; RELATIVE FREQUENCIES; STATISTICAL MODELING; TEMPORAL CONSTRAINTS; TRAINING SEQUENCES; UNSUPERVISED APPROACHES;

EID: 77950485823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1461893.1461910     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 1
    • 0033285765 scopus 로고    scopus 로고
    • Wallower: Principles and practice of background maintenance
    • June 1999
    • K. Toyama et al.,Wallower: Principles and Practice of Background Maintenance, ICCV 1999, pp. 255-261, June 1999.
    • (1999) ICCV , pp. 255-261
    • Toyama, K.1
  • 2
    • 84944070277 scopus 로고    scopus 로고
    • Non-parametric model for background subtraction
    • June 2000
    • A. Elgammal et al., Non-parametric Model for Background Subtraction, 6th European Conference on Computer Vision 2000, pp. 751-767, June 2000.
    • (2000) 6th European Conference on Computer Vision , pp. 751-767
    • Elgammal, A.1
  • 7
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real- time tracking
    • Aug.
    • C. Stau er and W.E.L. Grimson, Learning patterns of activity using real- time tracking, IEEE Trans. Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp 747-757, Aug. 2000.
    • (2000) IEEE Trans. Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 747-757
    • Stauer, C.1    Grimson, W.E.L.2
  • 8
    • 33644850861 scopus 로고    scopus 로고
    • A dynamic conditional random eld model for foreground and shadow segmentation
    • Feb.
    • Yang Wang. K.F.Loe, and J-K. Wu A dynamic conditional random eld model for foreground and shadow segmentation IEEE Trans. Trans. Pattern Anal. Mach. Intell., vol. 28, no. 2, pp 279-289, Feb.2006.
    • (2006) IEEE Trans. Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.2 , pp. 279-289
    • Wang, Y.1    Loe, K.F.2    Wu, J.-K.3
  • 9
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision.?
    • Sep.
    • Y. Boykov et al. \An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision.?" IEEE Trans. Trans. Pattern Anal. Mach. Intell., vol. 26, no. 9, pp 1124-1137, Sep.2004.
    • (2004) IEEE Trans. Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1
  • 10
    • 0742286180 scopus 로고    scopus 로고
    • What energy functions can be minimized via graph cuts?
    • Feb.
    • V. Kolmogorov et al. What Energy Functions Can be Minimized via Graph Cuts? IEEE Trans. Trans. Pattern Anal. Mach. Intell., vol. 26, no. 2, pp 147-159, Feb.2004.
    • (2004) IEEE Trans. Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.2 , pp. 147-159
    • Kolmogorov, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.