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Volumn , Issue , 2007, Pages

Robust multi-view change detection

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL DETECTION; SLOW LIGHT;

EID: 84898446209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.21.72     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 1
    • 33845572734 scopus 로고    scopus 로고
    • Robust people tracking with global trajectory optimization
    • June
    • J. Berclaz, F. Fleuret, and P. Fua. Robust people tracking with global trajectory optimization. In Proc. CVPR'06, volume 1, pages 744-750, June 2006.
    • (2006) Proc. CVPR'06 , vol.1 , pp. 744-750
    • Berclaz, J.1    Fleuret, F.2    Fua, P.3
  • 2
    • 33846968142 scopus 로고    scopus 로고
    • Coarse-to-fine strategy for robust and eficient change detectors
    • September
    • A. Bevilacqua, L. Di Stefano, and A. Lanza. Coarse-to-fine strategy for robust and eficient change detectors. In Proc. AVSS'05, pages 87-92, September 2005.
    • (2005) Proc. AVSS'05 , pp. 87-92
    • Bevilacqua, A.1    Di Stefano, L.2    Lanza, A.3
  • 3
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • July
    • A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proceedings of the IEEE, 90(7):1151-1163, July 2002.
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 6
    • 34547148549 scopus 로고    scopus 로고
    • A multiview approach to tracking people in crowded scenes using a planar homography constraint
    • May
    • S. M. Khan and M. Shah. A multiview approach to tracking people in crowded scenes using a planar homography constraint. In Proc. ECCV'06, volume 4, pages 133-146, May 2006.
    • (2006) Proc. ECCV'06 , vol.4 , pp. 133-146
    • Khan, S.M.1    Shah, M.2
  • 7
    • 34547304954 scopus 로고    scopus 로고
    • Detecting changes in grey level sequences by ML isotonic regression
    • November
    • A. Lanza and L. Di Stefano. Detecting changes in grey level sequences by ML isotonic regression. In Proc. AVSS'06, pages 4-4, November 2006.
    • (2006) Proc. AVSS'06 , pp. 4-4
    • Lanza, A.1    Di Stefano, L.2
  • 8
    • 33745132438 scopus 로고    scopus 로고
    • Fast illumination-invariant background subtraction using two-views: Error analysis, sensor placement and applications
    • June
    • S. N. Lim, A. Mittal, L. S. Davis, and N. Paragios. Fast illumination-invariant background subtraction using two-views: Error analysis, sensor placement and applications. In Proc. CVPR'05, volume 1, pages 1071-1078, June 2005.
    • (2005) Proc. CVPR'05 , vol.1 , pp. 1071-1078
    • Lim, S.N.1    Mittal, A.2    Davis, L.S.3    Paragios, N.4
  • 9
    • 0034850765 scopus 로고    scopus 로고
    • A statistical approach to background subtraction for surveillance systems
    • July
    • N. Ohta. A statistical approach to background subtraction for surveillance systems. In Proc. ICCV'01, volume 2, pages 481-486, July 2001.
    • (2001) Proc. ICCV'01 , vol.2 , pp. 481-486
    • Ohta, N.1
  • 10
    • 0032634283 scopus 로고    scopus 로고
    • Ptive background mixture models for realtime tracking
    • June
    • C. Staufier and W. E. L. Grimson. Adaptive background mixture models for realtime tracking. In Proc. CVPR'99, volume 2, pages 246-252, June 1999.
    • (1999) Proc. CVPR'99 , vol.2 , pp. 246-252
    • Staufier, C.1    Grimson, W.E.L.2
  • 11
    • 0348231689 scopus 로고    scopus 로고
    • Sudden illumination change detection using order consistency
    • February
    • B. Xie, V. Ramesh, and T. Boult. Sudden illumination change detection using order consistency. Image and Vision Computing, 22(2):117-125, February 2004.
    • (2004) Image and Vision Computing , vol.22 , Issue.2 , pp. 117-125
    • Xie, B.1    Ramesh, V.2    Boult, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.