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Volumn 2, Issue , 2003, Pages 1094-1101

Tracking articulated body by dynamic Markov network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; IMAGE ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY;

EID: 0344983290     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (107)

References (21)
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    • K. Choo and D. Fleet. People tracking using hybrid Monte Carlo filtering. In Proc. IEEE Int'l Conf. on Computer Vision, volume II, pages 321-328, Vancouver, Canada, July 2001.
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    • Choo, K.1    Fleet, D.2
  • 6
    • 0033697160 scopus 로고    scopus 로고
    • Articulated body motion capture by annealed particle filtering
    • Hilton Head Island, South Carolina
    • J. Deutscher, A. Blake, and I. Reid. Articulated body motion capture by annealed particle filtering. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, volume II, pages 126-133, Hilton Head Island, South Carolina, 2000.
    • (2000) Proc. IEEE Conf. on Computer Vision and Pattern Recognition , vol.2 , pp. 126-133
    • Deutscher, J.1    Blake, A.2    Reid, I.3
  • 9
    • 17544404795 scopus 로고    scopus 로고
    • PAMPAS: Real-valued graphical models for computer vision
    • Madison, WI, June
    • M. Isard. PAMPAS: Real-valued graphical models for computer vision. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, volume I, pages 613-620, Madison, WI, June 2003.
    • (2003) Proc. IEEE Conf. on Computer Vision and Pattern Recognition , vol.1 , pp. 613-620
    • Isard, M.1
  • 10
    • 84957604139 scopus 로고    scopus 로고
    • Contour tracking by stochastic propagation of conditional density
    • Cambridge, UK
    • M. Isard and A. Blake. Contour tracking by stochastic propagation of conditional density. In Proc. of European Conf. on Computer Vision, pages 343-356, Cambridge, UK, 1996.
    • (1996) Proc. of European Conf. on Computer Vision , pp. 343-356
    • Isard, M.1    Blake, A.2
  • 11
    • 0010252201 scopus 로고    scopus 로고
    • Tutorial on variational approximation methods
    • MIT AI Lab TR
    • T. S. Jaakkola. Tutorial on variational approximation methods. MIT AI Lab TR, 2000.
    • (2000)
    • Jaakkola, T.S.1
  • 12
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • M. Jordan, Z. Ghahramani, T. Jaakkola, and L. Saul. An introduction to variational methods for graphical models. Machine Learning, 37:183-233, 2000.
    • (2000) Machine Learning , vol.37 , pp. 183-233
    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 14
    • 0000978881 scopus 로고    scopus 로고
    • A theoretical framework for sequential importance sampling and resampling
    • In A. Doucet, N. de Freitas, and N. Gordon, editors; Springer-Verlag, New York
    • J. Liu, R. Chen, and T. Logvinenko. A theoretical framework for sequential importance sampling and resampling. In A. Doucet, N. de Freitas, and N. Gordon, editors, Sequential Monte Carlo in Practice. Springer-Verlag, New York, 2000.
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    • Liu, J.1    Chen, R.2    Logvinenko, T.3
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    • A probabilistic exclusion principle for tracking multiple objects
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    • J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. In Proc. IEEE Int'l Conf. on Computer Vision, pages 572-578, Greece, 1999.
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  • 16
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    • Partitioned sampling, articulated objects, and interface-quality hand tracking
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.