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Volumn , Issue , 2012, Pages 15-20

Learning a background model for change detection

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODEL; BACKGROUND SEGMENTATION; CAST SHADOW; CHANGE DETECTION; CHEBYSHEV; DYNAMIC BACKGROUND; FOREGROUND/BACKGROUND SEGMENTATION; MOTION DETECTORS; MOTION INFORMATION; OBJECT CLASSIFICATION; OBJECT TRACKING; PROBABILITY INEQUALITIES; RELEVANCE FEEDBACK; SEGMENTATION ACCURACY; SHADOW DETECTIONS; SYSTEM USE; VIDEO FRAME;

EID: 84865024028     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2012.6238921     Document Type: Conference Paper
Times cited : (34)

References (14)
  • 1
    • 79957497122 scopus 로고    scopus 로고
    • ViBe: A universal background subtraction algorithm for video sequences
    • O. Barnich and M. Droogenbroeck. ViBe: A universal background subtraction algorithm for video sequences. IEEE Trans. on Image Proc., 20(6):1709-1724, 2011.
    • (2011) IEEE Trans. on Image Proc. , vol.20 , Issue.6 , pp. 1709-1724
    • Barnich, O.1    Droogenbroeck, M.2
  • 3
    • 34249753618 scopus 로고
    • Support-Vector Networks
    • C. Cortes and V. Vapnik. Support-Vector Networks. In Machine Learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 9
    • 9744243584 scopus 로고    scopus 로고
    • Adaptive background subtraction based on feedback from fuzzy classification
    • L. Li, I. Gu, M. Leung and T. Qi. Adaptive background subtraction based on feedback from fuzzy classification. Optical Engineering, 43(10):2381-2394, 2004.
    • (2004) Optical Engineering , vol.43 , Issue.10 , pp. 2381-2394
    • Li, L.1    Gu, I.2    Leung, M.3    Qi, T.4
  • 10
    • 45949086871 scopus 로고    scopus 로고
    • A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
    • L. Maddalena and A. Petrosino. A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications. IEEE Transactions on Image Processing, 17(7):1168-1177, 2008.
    • (2008) IEEE Transactions on Image Processing , vol.17 , Issue.7 , pp. 1168-1177
    • Maddalena, L.1    Petrosino, A.2
  • 14
    • 10044240378 scopus 로고    scopus 로고
    • Improved adaptive Gaussian mixture model for background subtraction
    • Z. Zivkovic. Improved adaptive Gaussian mixture model for background subtraction. In Proc. Int. Conf. Pattern Recognition, 28-31, 2004.
    • (2004) Proc. Int. Conf. Pattern Recognition , pp. 28-31
    • Zivkovic, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.