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Volumn 20, Issue 6, 2009, Pages 395-409

Non-parametric statistical background modeling for efficient foreground region detection

Author keywords

Background modeling; Background subtraction; Non parametric density estimation; Quasi stationary backgrounds; Recursive modeling

Indexed keywords

BACKGROUND MODELING; BACKGROUND SUBTRACTION; NON-PARAMETRIC DENSITY ESTIMATION; QUASI-STATIONARY BACKGROUNDS; RECURSIVE MODELING;

EID: 69949105468     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-008-0134-2     Document Type: Article
Times cited : (66)

References (33)
  • 5
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • A. Elgammal R. Duraiswami D. Harwood L. Davis 2002 Background and foreground modeling using nonparametric kernel density estimation for visual surveillance Proc. IEEE 90 1151 1163
    • (2002) Proc. IEEE , vol.90 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.4
  • 7
    • 0021643876 scopus 로고
    • New likelihood test methods for change detection in image sequences
    • Y. Hsu H. Nagel G. Rekers 1984 New likelihood test methods for change detection in image sequences Comput. Vis. Graph. Image Process. 26 73 106
    • (1984) Comput. Vis. Graph. Image Process. , vol.26 , pp. 73-106
    • Hsu, Y.1    Nagel, H.2    Rekers, G.3
  • 13
    • 18144412408 scopus 로고    scopus 로고
    • Effective Gaussian mixture learning for video background subtraction
    • D.S. Lee 2005 Effective Gaussian mixture learning for video background subtraction IEEE Trans. PAMI 27 5 827 832
    • (2005) IEEE Trans. PAMI , vol.27 , Issue.5 , pp. 827-832
    • Lee, D.S.1
  • 14
    • 7444243389 scopus 로고    scopus 로고
    • Statistical modeling of complex backgrounds for foreground object detection
    • L. Li W. Huang I. Gu Q. Tian 2004 Statistical modeling of complex backgrounds for foreground object detection IEEE Trans. Image Process. 13 11 1459 1472
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.11 , pp. 1459-1472
    • Li, L.1    Huang, W.2    Gu, I.3    Tian, Q.4
  • 16
    • 0000111533 scopus 로고    scopus 로고
    • Object tracking using adaptive color mixture models
    • S. McKenna Y. Raja S. Gong 1998 Object tracking using adaptive color mixture models Proc. Asian Conf. Comput. Vis. 1 615 622
    • (1998) Proc. Asian Conf. Comput. Vis. , vol.1 , pp. 615-622
    • Raja, Y.1    Gong, S.2
  • 17
    • 0033098507 scopus 로고    scopus 로고
    • Tracking colour objects using adaptive mixture models
    • S. McKenna Y. Raja S. Gong 1999 Tracking colour objects using adaptive mixture models Image Vis. Comput. 17 223 229
    • (1999) Image Vis. Comput. , vol.17 , pp. 223-229
    • Raja, Y.1    Gong, S.2
  • 18
    • 5044221727 scopus 로고    scopus 로고
    • Motion-based background subtraction using adaptive kernel density estimation
    • A. Mittal N. Paragios 2004 Motion-based background subtraction using adaptive kernel density estimation Proc. CVPR 2 302 309
    • (2004) Proc. CVPR , vol.2 , pp. 302-309
    • Mittal, A.1    Paragios, N.2
  • 19
    • 0035683519 scopus 로고    scopus 로고
    • A MRF-based approach for real-time subway monitoring
    • N. Paragios V. Ramesh 2001 A MRF-based approach for real-time subway monitoring IEEE Trans. PAMI 1 1030 1040
    • (2001) IEEE Trans. PAMI , vol.1 , pp. 1030-1040
    • Paragios, N.1    Ramesh, V.2
  • 20
    • 0034245220 scopus 로고    scopus 로고
    • Detecting independent motion: The statistics of temporal continuity
    • R. Pless T. Brodsky Y. Aloimonos 2000 Detecting independent motion: the statistics of temporal continuity IEEE Trans. PAMI 22 8 68 73
    • (2000) IEEE Trans. PAMI , vol.22 , Issue.8 , pp. 68-73
    • Pless, R.1    Brodsky, T.2    Aloimonos, Y.3
  • 21
  • 24
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-time tracking
    • C. Stauffer W. Grimson 1999 Adaptive background mixture models for real-time tracking Proc. CVPR 2 246 252
    • (1999) Proc. CVPR , vol.2 , pp. 246-252
    • Stauffer, C.1    Grimson, W.2
  • 25
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • C. Stauffer W. Grimson 2000 Learning patterns of activity using real-time tracking IEEE Trans. PAMI 22 8 747 757
    • (2000) IEEE Trans. PAMI , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.2
  • 27
    • 33744815233 scopus 로고    scopus 로고
    • Automatic robust background modeling using multivariate non-parametric kernel density estimation for visual surveillance
    • LNSC
    • Tavakkoli, A., Nicolescu, M., Bebis, G.: Automatic robust background modeling using multivariate non-parametric kernel density estimation for visual surveillance. In: Proceedings of the International Symposium on Visual Computing, LNSC, vol. 3804, pp. 363-370 (2005)
    • (2005) Proceedings of the International Symposium on Visual Computing , vol.3804 , pp. 363-370
    • Tavakkoli, A.1    Nicolescu, M.2    Bebis, G.3
  • 31
    • 0033285765 scopus 로고    scopus 로고
    • Wallflower: Principles and practice of background maintenance
    • K. Toyama J. Krumm B. Brumitt B. Meyers 1999 Wallflower: principles and practice of background maintenance Proc. ICCV 1 255 261
    • (1999) Proc. ICCV , vol.1 , pp. 255-261
    • Toyama, K.1    Krumm, J.2    Brumitt, B.3    Meyers, B.4
  • 33
    • 0034244906 scopus 로고    scopus 로고
    • Detecting salient motion by accumulating directionary-consistent flow
    • L. Wixson 2000 Detecting salient motion by accumulating directionary-consistent flow IEEE Trans. Pattern Anal. Mach. Intell. 22 774 780
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , pp. 774-780
    • Wixson, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.