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Volumn 16, Issue 2, 2002, Pages 564-568

Visual contour tracking based on sequential importance sampling/resampling algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE PROCESSING; NONLINEAR SYSTEMS; SAMPLING; CONTOUR MEASUREMENT; PATTERN RECOGNITION; TARGET TRACKING;

EID: 33751562422     PISSN: 10514651     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICPR.2002.1048366     Document Type: Article
Times cited : (4)

References (18)
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    • Shape and nonrigid motion estimation through physics-based sythesis
    • Metaxas D, Terzopouilos D. Shape and Nonrigid Motion Estimation Through Physics-Based Sythesis. IEEE Trans. on PAMI, 1993, 15(6):580-591.
    • (1993) IEEE Trans. on PAMI , vol.15 , Issue.6 , pp. 580-591
    • Metaxas, D.1    Terzopouilos, D.2
  • 4
    • 0032649554 scopus 로고    scopus 로고
    • Robust tracking of position and velocity with kalman snakes
    • Deterfreund N. Robust Tracking of Position and Velocity with Kalman Snakes. IEEE Trans. on PAMI, 21(6):564-569, 1999.
    • (1999) IEEE Trans. on PAMI , vol.21 , Issue.6 , pp. 564-569
    • Deterfreund, N.1
  • 5
    • 0027676791 scopus 로고
    • A framework for spatiotemporal control in the tracking of visual contours
    • Blake A, Cuewen R, Zisserman A. A framework for Spatiotemporal Control in the Tracking of Visual Contours. Int. J. Computer Vision, 11 (2): 127-145, 1993.
    • (1993) Int. J. Computer Vision , vol.11 , Issue.2 , pp. 127-145
    • Blake, A.1    Cuewen, R.2    Zisserman, A.3
  • 7
    • 84957604139 scopus 로고    scopus 로고
    • Contour tracking by stochastic propagation of conditional density
    • Isard M, Blake A. Contour Tracking by Stochastic Propagation of Conditional density. In Proc. 4th European Conf. Computer Vision, 343-356, 1996.
    • (1996) Proc. 4th European Conf. Computer Vision , pp. 343-356
    • Isard, M.1    Blake, A.2
  • 9
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-condentional densoty propagetion for visual tracking
    • Isard M, Blake a. Condensation-condentional Densoty Propagetion for Visual Tracking. Int. J. Computrt Vision, 29(1):5-28, 1998.
    • (1998) Int. J. Computrt Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 11
    • 84957655116 scopus 로고    scopus 로고
    • I condensation: Unifying low-level and high-level tracking in a stochastic framework
    • Isard M, Blake A. I Condensation: Unifying Low-level and High-level Tracking in a Stochastic Framework. In Proc. 5th European Conf. Computer Vision, 893-908, 1998.
    • (1998) Proc. 5th European Conf. Computer Vision , pp. 893-908
    • Isard, M.1    Blake, A.2
  • 12
  • 16
    • 0000979403 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods to train neural networks models
    • De Freitas J F G, Niranjan M, Gee A H, Doucet A. Sequential Monte Carlo Methods to Train Neural Networks Models. Neural Computation, 12(4):955-993, 2000.
    • (2000) Neural Computation , vol.12 , Issue.4 , pp. 955-993
    • De Freitas, J.F.G.1    Niranjan, M.2    Gee, A.H.3    Doucet, A.4
  • 17
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/NonGaussian bayesian state estimation
    • Gordon N J, Samond d j, Smich A F M. Novel Approach to Nonlinear/NonGaussian Bayesian State Estimation, IEE-Proc.-F, 140(2):107-113, 1993.
    • (1993) IEE-Proc.-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Samond, D.J.2    Smich, A.F.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.