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Volumn , Issue , 2007, Pages

Layered active contours for tracking

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLUTTER (INFORMATION THEORY); COMPUTER VISION; CURVE FITTING; DEFORMATION;

EID: 84898447232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.21.5     Document Type: Conference Paper
Times cited : (2)

References (17)
  • 2
    • 0035248865 scopus 로고    scopus 로고
    • Active contours without edges
    • February
    • T. Chan and L. Vese. Active contours without edges. IEEE Trans. Image Processing, pages 266-277, February 2001.
    • (2001) IEEE Trans. Image Processing , pp. 266-277
    • Chan, T.1    Vese, L.2
  • 3
    • 71049152291 scopus 로고    scopus 로고
    • Layered representation for pedestrian detection and tracking in infrared imagery
    • June
    • C. Dai, Y. Zheng, and X. Li. Layered representation for pedestrian detection and tracking in infrared imagery. In Proc. IEEE CVPR, volume 3, page 13, June 2005.
    • (2005) Proc. IEEE CVPR , vol.3 , pp. 13
    • Dai, C.1    Zheng, Y.2    Li, X.3
  • 4
    • 84944389203 scopus 로고    scopus 로고
    • A layered motion representation with occlusion and compact spatial support
    • A. D. Jepson, D. J. Fleet, and M.J. Black. A layered motion representation with occlusion and compact spatial support. In Proc ECCV, pages 692-706, 2002.
    • (2002) Proc ECCV , pp. 692-706
    • Jepson, A.D.1    Fleet, D.J.2    Black, M.J.3
  • 5
    • 0035686705 scopus 로고    scopus 로고
    • Learning flexible sprites in video layers
    • Maui, HI
    • N. Jojic and B. Frey. Learning flexible sprites in video layers. In Proc. IEEE CVPR, volume 1, pages 199-206, Maui, HI., 2001.
    • (2001) Proc. IEEE CVPR , vol.1 , pp. 199-206
    • Jojic, N.1    Frey, B.2
  • 6
    • 33745939357 scopus 로고    scopus 로고
    • Learning layered motion segmentation of video
    • M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered motion segmentation of video. In Proc. IEEE ICCV, volume 1, pages 33-40, 2005.
    • (2005) Proc. IEEE ICCV , vol.1 , pp. 33-40
    • Kumar, M.P.1    Torr, P.H.S.2    Zisserman, A.3
  • 7
    • 9644294262 scopus 로고    scopus 로고
    • Geodesic active regions and level set methods for motion estimation and tracking
    • Nikos Paragios and Rachid Deriche. Geodesic active regions and level set methods for motion estimation and tracking. Comput. Vis. Image Underst., 97(3):259-282, 2005.
    • (2005) Comput. Vis. Image Underst. , vol.97 , Issue.3 , pp. 259-282
    • Paragios, N.1    Deriche, R.2
  • 8
    • 0036225889 scopus 로고    scopus 로고
    • Object tracking with Bayesian estimation of dynamic layer representations
    • H. Tao, H. S. Sawhney, and R. Kumar. Object tracking with Bayesian estimation of dynamic layer representations. IEEE Trans. PAMI, 24:75-89, 2002.
    • (2002) IEEE Trans. PAMI , vol.24 , pp. 75-89
    • Tao, H.1    Sawhney, H.S.2    Kumar, R.3
  • 9
    • 0035279074 scopus 로고    scopus 로고
    • An integrated Bayesian approach to layer extraction from image sequences
    • March
    • P. H. S. Torr, R. Szeliski, and P. Anandan. An integrated Bayesian approach to layer extraction from image sequences. IEEE Trans. PAMI, 23:297-303, March 2001.
    • (2001) IEEE Trans. PAMI , vol.23 , pp. 297-303
    • Torr, P.H.S.1    Szeliski, R.2    Anandan, P.3
  • 10
    • 0036605232 scopus 로고    scopus 로고
    • Probabilistic tracking with exemplars in a metric space
    • K. Toyama and A. Blake. Probabilistic tracking with exemplars in a metric space. Int. J. Computer Vision, pages 9-19, 2002.
    • (2002) Int. J. Computer Vision , pp. 9-19
    • Toyama, K.1    Blake, A.2
  • 12
    • 0027873211 scopus 로고
    • Layered representation for motion analysis
    • New York June
    • J. Y. A. Wang and E. H. Adelson. Layered representation for motion analysis. In Proc. IEEE CVPR, pages 361-366, New York, June 1993.
    • (1993) Proc. IEEE CVPR , pp. 361-366
    • Wang, J.Y.A.1    Adelson, E.H.2
  • 13
    • 1842733191 scopus 로고    scopus 로고
    • Greedy learning of multiple objects in images using robust statistics and factorial learning
    • C. K. I. Williams and M. K. Titsias. Greedy learning of multiple objects in images using robust statistics and factorial learning. Neural Computation, 16:1039-1062, 2004.
    • (2004) Neural Computation , vol.16 , pp. 1039-1062
    • Williams, C.K.I.1    Titsias, M.K.2
  • 14
    • 27644567619 scopus 로고    scopus 로고
    • Motion layer extraction in the presence of occlusion using graph cuts
    • October
    • J. Xiao and M. Shah. Motion layer extraction in the presence of occlusion using graph cuts. IEEE Trans. PAMI, 27:1644-1659, October 2005.
    • (2005) IEEE Trans. PAMI , vol.27 , pp. 1644-1659
    • Xiao, J.1    Shah, M.2
  • 15
    • 84932649638 scopus 로고    scopus 로고
    • The dense estimation of motion and appearance in layers
    • June
    • H. Yalcin, M.J. Black, and R. Fablet. The dense estimation of motion and appearance in layers. In Proc. IEEE CVPR, page 165, June 2004.
    • (2004) Proc. IEEE CVPR , pp. 165
    • Yalcin, H.1    Black, M.J.2    Fablet, R.3
  • 17
    • 0344983291 scopus 로고    scopus 로고
    • A background layer model for object tracking through occlusion
    • October
    • Y. Zhou and H. Tao. A background layer model for object tracking through occlusion. In Proc. IEEE ICCV, volume 2, pages 1079-1085, October 2003.
    • (2003) Proc. IEEE ICCV , vol.2 , pp. 1079-1085
    • Zhou, Y.1    Tao, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.