메뉴 건너뛰기




Volumn 3212, Issue , 2004, Pages 363-371

Classifiers combination for improved motion segmentation

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MOTION ANALYSIS; PIXELS;

EID: 35048870626     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30126-4_45     Document Type: Article
Times cited : (6)

References (12)
  • 2
    • 0003301612 scopus 로고    scopus 로고
    • A statistical approach for real-time robust background subtraction and shadow detection
    • Horprasert, T., Harwood, D., Davis, L.: A statistical approach for real-time robust background subtraction and shadow detection. In: Proc. ICCV'99. (1999) 1-19
    • (1999) Proc. ICCV'99. , pp. 1-19
    • Horprasert, T.1    Harwood, D.2    Davis, L.3
  • 4
    • 0001802715 scopus 로고    scopus 로고
    • Image segmentation in video sequences: A probabilistic approach
    • Friedman, N., Russell, S.: Image segmentation in video sequences: a probabilistic approach. In: Proc. UAI97. (1997) 175-181
    • (1997) Proc. UAI97. , pp. 175-181
    • Friedman, N.1    Russell, S.2
  • 5
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using non-parametric kernel density estimation for visual surveillance
    • Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.S.: Background and foreground modeling using non-parametric kernel density estimation for visual surveillance. Proceedings of the IEEE 90 (2002) 1151-1163
    • (2002) Proceedings of the IEEE , vol.90 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 6
    • 0032205609 scopus 로고    scopus 로고
    • Bayesian approaches to Gaussian mixture modeling
    • Roberts, S., Husmeier, D., Rezek, I., Penny, W.: Bayesian approaches to Gaussian mixture modeling. IEEE TPAMI 20 (1998) 1133-1142
    • (1998) IEEE TPAMI , vol.20 , pp. 1133-1142
    • Roberts, S.1    Husmeier, D.2    Rezek, I.3    Penny, W.4
  • 7
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • Stauffer, C., Crimson, W.: Learning patterns of activity using real-time tracking. IEEE TPAMI 22 (2000) 747-757
    • (2000) IEEE TPAMI , vol.22 , pp. 747-757
    • Stauffer, C.1    Crimson, W.2
  • 8
    • 0742303390 scopus 로고    scopus 로고
    • An improved adaptive background mixture model for real-time tracking with shadow detection
    • KaewTraKulPong, P., Bowden, R.: An improved adaptive background mixture model for real-time tracking with shadow detection. In: Proc. AVBS'01. (2001)
    • (2001) Proc. AVBS'01.
    • Kaewtrakulpong, P.1    Bowden, R.2
  • 9
    • 0033098507 scopus 로고    scopus 로고
    • Tracking colour objects using adaptive mixture models
    • S.J. McKenna, Y.R., Gong, S.: Tracking colour objects using adaptive mixture models. Image and Vision Computing 17 (1999) 225-231
    • (1999) Image and Vision Computing , vol.17 , pp. 225-231
    • McKenna, S.J.1    Gong, Y.R.2
  • 10
    • 0033680842 scopus 로고    scopus 로고
    • Scene modeling for wide area surveillance and image synthesis
    • Mittaland, A., Huttenlocher, D.: Scene modeling for wide area surveillance and image synthesis. In: Proc. CVPR'2000. Volume 2. (2000) 160-167
    • (2000) Proc. CVPR'2000. , vol.2 , pp. 160-167
    • Mittaland, A.1    Huttenlocher, D.2
  • 11
    • 0348231687 scopus 로고    scopus 로고
    • Tracking multiple vehicles using foreground, background and motion models
    • Magee, D.R.: Tracking multiple vehicles using foreground, background and motion models. Image and Vision Computing 22 (2004) 143-155
    • (2004) Image and Vision Computing , vol.22 , pp. 143-155
    • Magee, D.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.