메뉴 건너뛰기




Volumn 3247, Issue , 2004, Pages 117-128

Novelty detection in image sequences with dynamic background

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; VIDEO SIGNAL PROCESSING;

EID: 35048872652     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30212-4_11     Document Type: Article
Times cited : (14)

References (11)
  • 3
    • 84944070277 scopus 로고    scopus 로고
    • Non-parametric model for background subtraction
    • Dublin, Ireland
    • A. Elgammal, D. Harwood, and L. S. Davis. Non-parametric model for background subtraction. In European Conf. Computer Vision, volume II, pages 751-767, Dublin, Ireland, 2000.
    • (2000) European Conf. Computer Vision , vol.2 , pp. 751-767
    • Elgammal, A.1    Harwood, D.2    Davis, L.S.3
  • 5
    • 0344983250 scopus 로고    scopus 로고
    • Background modeling and subtraction of dynamic scenes
    • Nice, France
    • A. Monnet, A. Mittal, N. Paragios, and V. Ramesh. Background modeling and subtraction of dynamic scenes. In Int. Conf. Computer Vision, pages 1305-1312, Nice, France, 2003.
    • (2003) Int. Conf. Computer Vision , pp. 1305-1312
    • Monnet, A.1    Mittal, A.2    Paragios, N.3    Ramesh, V.4
  • 6
    • 0031206969 scopus 로고    scopus 로고
    • A sequential factorization method for recovering shape and motion from image streams
    • T. Morita and T Kanade. A sequential factorization method for recovering shape and motion from image streams. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(8):858-867, 1997.
    • (1997) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.19 , Issue.8 , pp. 858-867
    • Morita, T.1    Kanade, T.2
  • 7
    • 0034850765 scopus 로고    scopus 로고
    • A statistical approach to background substraction for surveillance systems
    • Vancouver, Canada
    • N. Ohta. A statistical approach to background substraction for surveillance systems. In Int. Conf. Computer Vision, volume II, pages 481-486, Vancouver, Canada, 2001.
    • (2001) Int. Conf. Computer Vision , vol.2 , pp. 481-486
    • Ohta, N.1
  • 10
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for realtime tracking
    • Fort Collins, USA
    • C. Stauffer and W.E.L. Crimson. Adaptive background mixture models for realtime tracking. In Conf. Computer Vision and Pattern Recognition, volume II, pages 246-252, Fort Collins, USA, 1999.
    • (1999) Conf. Computer Vision and Pattern Recognition , vol.2 , pp. 246-252
    • Stauffer, C.1    Crimson, W.E.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.