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Volumn , Issue , 2008, Pages

Online learning and partitioning of linear displacement predictors for tracking

Author keywords

[No Author keywords available]

Indexed keywords

PIECEWISE LINEAR TECHNIQUES;

EID: 84898414248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.22.4     Document Type: Conference Paper
Times cited : (5)

References (15)
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    • Cootes, T.F.1    Edwards, G.J.2    Taylor, C.J.3
  • 4
    • 34948866180 scopus 로고    scopus 로고
    • N-tier simultaneous modelling and tracking for arbitrary warps
    • M. Chantler, R. Fisher, and M. Trucco, editors British Machine Vision Association
    • N.D.H. Dowson and R. Bowden. N-tier simultaneous modelling and tracking for arbitrary warps. In M. Chantler, R. Fisher, and M. Trucco, editors, Proc. of the 17th British Machine Vision Conference. British Machine Vision Association, 2006.
    • (2006) Proc. of the 17th British Machine Vision Conference
    • Dowson, N.D.H.1    Bowden, R.2
  • 5
    • 50649084565 scopus 로고    scopus 로고
    • Linear predictors for fast simultaneous modeling and tracking
    • Eleventh IEEE Intl. Conf. Computer Vision, Rio de Janeiro, Brazil
    • L Ellis and R Bowden. Linear predictors for fast simultaneous modeling and tracking. In submitted to Workshop on Non-rigid Registration and Tracking through Learning, Eleventh IEEE Intl. Conf. Computer Vision, Rio de Janeiro, Brazil, 2007.
    • (2007) Submitted to Workshop on Non-rigid Registration and Tracking Through Learning
    • Ellis, L.1    Bowden, R.2
  • 6
    • 84898020313 scopus 로고    scopus 로고
    • Real-time tracking via on-line boosting
    • M. Chantler, R. Fisher, and M. Trucco, editors British Machine Vision Association
    • Grabner-M. Bischof H. Grabner, H. Real-time tracking via on-line boosting. In M. Chantler, R. Fisher, and M. Trucco, editors, Proc. of the 17th British Machine Vision Conference, pages 47-56. British Machine Vision Association, 2006.
    • (2006) Proc. of the 17th British Machine Vision Conference , pp. 47-56
    • Grabner, M.1    Bischof, H.2    Grabner, H.3
  • 7
    • 0035680076 scopus 로고    scopus 로고
    • Robust online appearance models for visual tracking
    • Allan D. Jepson, David J. Fleet, and Thomas F. El-Maraghi. Robust online appearance models for visual tracking. In CVPR (1), pages 415-422, 2001.
    • (2001) CVPR (1) , pp. 415-422
    • Jepson, A.D.1    Fleet, D.J.2    El-Maraghi, T.F.3
  • 8
    • 27744569396 scopus 로고    scopus 로고
    • Real time robust template matching
    • Frédéric Jurie and Michel Dhome. Real time robust template matching. In BMVC, 2002.
    • (2002) BMVC
    • Jurie, F.1    Dhome, M.2
  • 9
    • 0019647180 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • Bruce D. Lucas and Takeo Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI, pages 674-679, 1981.
    • (1981) IJCAI , pp. 674-679
    • Lucas, B.D.1    Kanade, T.2
  • 10
    • 0033284589 scopus 로고    scopus 로고
    • Robust real-time visual tracking using a 2d-3d model-based approach
    • Éric Marchand, Patrick Bouthemy, François Chaumette, and Valérie Moreau. Robust real-time visual tracking using a 2d-3d model-based approach. In ICCV, pages 262-268, 1999.
    • (1999) ICCV , pp. 262-268
    • Marchand, E.1    Bouthemy, P.2    Chaumette, F.3    Moreau, V.4
  • 11
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    • Learning efficient linear predictors for motion estimation
    • Jiri Matas, Karel Zimmermann, Tomás Svoboda, and Adrian Hilton. Learning efficient linear predictors for motion estimation. In ICVGIP, pages 445-456, 2006.
    • (2006) ICVGIP , pp. 445-456
    • Matas, J.1    Zimmermann, K.2    Svoboda, T.3    Hilton, A.4
  • 14
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    • A sparse probabilistic learning algorithm for real-time tracking
    • Oliver M. C. Williams, Andrew Blake, and Roberto Cipolla. A sparse probabilistic learning algorithm for real-time tracking. In ICCV, pages 353-361, 2003.
    • (2003) ICCV , pp. 353-361
    • Oliver, M.1    Williams, C.2    Blake, A.3    Cipolla, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.