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Volumn 1, Issue , 2000, Pages 503-510

Error analysis of background adaption

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; PATTERN RECOGNITION SYSTEMS; PROBABILITY; STATISTICAL METHODS;

EID: 0033698283     PISSN: 10636919     EISSN: None     Source Type: Journal    
DOI: 10.1109/CVPR.2000.855861     Document Type: Conference Paper
Times cited : (101)

References (16)
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    • w4s: A real-time system for detecting and tracking people in 2.5d
    • I. Haritaoglu D. Harwood L. Davis w4s: A real-time system for detecting and tracking people in 2.5d Computer Vision—ECCV Computer Vision—ECCV 1998
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    • Haritaoglu, I.1    Harwood, D.2    Davis, L.3
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    • (1997) , pp. 697-703
    • Intille, S.1    Davis, J.2    Bobick, A.3
  • 7
    • 1242292778 scopus 로고    scopus 로고
    • A realtime computer vision system for measuring traffic parameters
    • D. Beymer P. McLauchlan B. Coifman J. Malik A realtime computer vision system for measuring traffic parameters Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 1997
    • (1997)
    • Beymer, D.1    McLauchlan, P.2    Coifman, B.3    Malik, J.4
  • 8
    • 0001802715 scopus 로고    scopus 로고
    • Image segmentation in video sequence: A probabilistic approach
    • N. Friedman S. Russell Image segmentation in video sequence: A probabilistic approach Proc. of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI) Proc. of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI) 1997
    • (1997)
    • Friedman, N.1    Russell, S.2
  • 9
    • 85177107106 scopus 로고    scopus 로고
    • Moving target detection and classification from real-time video
    • A. Lipton H. Fuijiyoshi R. Patil Moving target detection and classification from real-time video Proc. of the IEEE Workshop on Applications of Computer Vision Proc. of the IEEE Workshop on Applications of Computer Vision 1998
    • (1998)
    • Lipton, A.1    Fuijiyoshi, H.2    Patil, R.3
  • 10
    • 0032296592 scopus 로고    scopus 로고
    • Using adaptive tracking to classify and monitor activities in a site
    • W. Grimson C. Stauffer R. Romano L. Lee Using adaptive tracking to classify and monitor activities in a site Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 22 29 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 1998
    • (1998) , pp. 22-29
    • Grimson, W.1    Stauffer, C.2    Romano, R.3    Lee, L.4
  • 11
    • 16244375972 scopus 로고    scopus 로고
    • A statistical approach for real-time robust background
    • T. Horprasert D. Harwood L. Davis A statistical approach for real-time robust background FRAME-RATE Workshop FRAME-RATE Workshop 1999 www.eecs.lehigh.edu/FRAME
    • (1999)
    • Horprasert, T.1    Harwood, D.2    Davis, L.3
  • 12
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    • Non-parametric model for background subtraction
    • A. Elgammal D. Harwood L. Davis Non-parametric model for background subtraction FRAME-RATE Workshop FRAME-RATE Workshop 1999 www.eecs.lehigh.edu/FRAME
    • (1999)
    • Elgammal, A.1    Harwood, D.2    Davis, L.3
  • 13
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    • Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets
    • T. E. Boult R. Micheals X. Gao P. Lewis C. Power W. Yin A. Erkan Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets Second IEEE International Workshop on Visual Surveillance 48 55 Second IEEE International Workshop on Visual Surveillance 1999
    • (1999) , pp. 48-55
    • Boult, T.E.1    Micheals, R.2    Gao, X.3    Lewis, P.4    Power, C.5    Yin, W.6    Erkan, A.7
  • 14
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    • Wallflower: Principles and practice of background maintenance
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    • (1999) , pp. 255-261
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  • 15
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    • Statistical background modelling for tracking with a virtual camera
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    • Stauffer, C.1    Grimson, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.