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Volumn , Issue , 2008, Pages

Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; GRAPHIC METHODS; GRAPHICS PROCESSING UNIT; LEARNING SYSTEMS; PATTERN RECOGNITION; PIXELS; PROGRAM PROCESSORS; TEXTURES;

EID: 77957936838     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761488     Document Type: Conference Paper
Times cited : (16)

References (10)
  • 1
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE TPAMI, 23(11):1222-1239, 2001.
    • (2001) IEEE TPAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 3
    • 50849105799 scopus 로고    scopus 로고
    • Background subtraction for temporally irregular dynamic textures
    • G. Dalley, J. Migdal, and W. E. L. Grimson. Background subtraction for temporally irregular dynamic textures. In WACV, 2008.
    • (2008) WACV
    • Dalley, G.1    Migdal, J.2    Grimson, W.E.L.3
  • 4
    • 50249173226 scopus 로고    scopus 로고
    • Gpu-cuts: Combinatorial optimisation, graphic processing units and adaptive object extraction
    • N. Dixit, R. Keriven, and N. Paragios. Gpu-cuts: Combinatorial optimisation, graphic processing units and adaptive object extraction. Technical report, CERTIS, 2005.
    • (2005) Technical Report, CERTIS
    • Dixit, N.1    Keriven, R.2    Paragios, N.3
  • 5
    • 0002471366 scopus 로고
    • A new approach to the maximum flow problem
    • A. V. Goldberg and R. E. Tarjan. A new approach to the maximum flow problem. In STOC, 1986.
    • (1986) STOC
    • Goldberg, A.V.1    Tarjan, R.E.2
  • 6
    • 35348830375 scopus 로고    scopus 로고
    • Background subtraction using Markov thresholds
    • J. Migdal and W. E. L. Grimson. Background subtraction using Markov thresholds. In WMVC, pages 58-65, 2005.
    • (2005) WMVC , pp. 58-65
    • Migdal, J.1    Grimson, W.E.L.2
  • 7
    • 0344983250 scopus 로고    scopus 로고
    • Background modeling and subtraction of dynamic scenes
    • A. Monnet, A. Mittal, N. Paragios, and V. Ramesh. Background modeling and subtraction of dynamic scenes. In ICCV, 2003.
    • (2003) ICCV
    • Monnet, A.1    Mittal, A.2    Paragios, N.3    Ramesh, V.4
  • 8
    • 24644476577 scopus 로고    scopus 로고
    • Bayesian object detection in dynamic scenes
    • Y. Sheikh and M. Shah. Bayesian object detection in dynamic scenes. In CVPR, 2005.
    • (2005) CVPR
    • Sheikh, Y.1    Shah, M.2
  • 9
    • 0033285765 scopus 로고    scopus 로고
    • Wallflower: Principles and practice of background maintenance
    • K. Toyama, J. Krumm, B. Brumitt, and B. Meyers. Wallflower: Principles and practice of background maintenance. In ICCV, 1999.
    • (1999) ICCV
    • Toyama, K.1    Krumm, J.2    Brumitt, B.3    Meyers, B.4
  • 10
    • 0344551957 scopus 로고    scopus 로고
    • Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
    • J. Zhong and S. Sclaroff. Segmenting foreground objects from a dynamic textured background via a robust kalman filter. In ICCV, 2003.
    • (2003) ICCV
    • Zhong, J.1    Sclaroff, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.