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Volumn I, Issue , 2005, Pages 962-969

Using particles to track varying numbers of interacting people

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS; STATE SPACE METHODS; TRACKING (POSITION);

EID: 33745143978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.361     Document Type: Conference Paper
Times cited : (194)

References (16)
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    • D. Comaniciu, V. Ramesh, and P. Meer, Real-time tracking of nonrigid objects using mean shift. In Proc. IEEE CVPR, Hilton Head Island, Jun. 2000.
    • (2000) Proc. IEEE CVPR
    • Comaniciu, D.1    Ramesh, V.2    Meer, P.3
  • 2
    • 0035591051 scopus 로고    scopus 로고
    • On the relationship between Markov chain Monte Carlo methods for model uncertainty
    • S. Godsill. On the relationship between Markov chain Monte Carlo methods for model uncertainty. J. Comp. Graph. Stats., 2001.
    • (2001) J. Comp. Graph. Stats.
    • Godsill, S.1
  • 3
    • 0346641850 scopus 로고    scopus 로고
    • Trans-dimensional Markov chain Monte Carlo
    • P. J. Green, N. L. Hjort, and S. Richardson, editors. Oxford Univ. Press
    • P. J. Green. Trans-dimensional Markov chain Monte Carlo. In P. J. Green, N. L. Hjort, and S. Richardson, editors, Highly Structured Stocliastic Systems. Oxford Univ. Press, 2003.
    • (2003) Highly Structured Stocliastic Systems
    • Green, P.J.1
  • 5
    • 0034851441 scopus 로고    scopus 로고
    • BRAMBLE: A Bayesian multi-blob tracker
    • Vancouver, Jul.
    • M. Isard and J. MacCormick, BRAMBLE: A Bayesian multi-blob tracker. In Proc. IEEE ICCV, Vancouver, Jul. 2001.
    • (2001) Proc. IEEE ICCV
    • Isard, M.1    MacCormick, J.2
  • 6
    • 11244319185 scopus 로고    scopus 로고
    • An MCMC-based particle filter for tracking multiple interacting targets
    • Prague, May
    • Z. Khan, T. Batch, and F. Dellaert. An MCMC-based particle filter for tracking multiple interacting targets. In Proc. ECCV, Prague, May 2004.
    • (2004) Proc. ECCV
    • Khan, Z.1    Batch, T.2    Dellaert, F.3
  • 9
    • 0033283939 scopus 로고    scopus 로고
    • A probabilistic exclusion principle for tracking multiple objects
    • J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. In Proc. IEEE ICCV, 1999.
    • (1999) Proc. IEEE ICCV
    • MacCormick, J.1    Blake, A.2
  • 10
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  • 12
    • 60849101447 scopus 로고    scopus 로고
    • Order matters: A distributed sampling method for multiple-object tracking
    • London, Sept.
    • K. Smith and D. Gatica-Perez. Order matters: A distributed sampling method for multiple-object tracking. In Proc. BMVC, London, Sept. 2004.
    • (2004) Proc. BMVC
    • Smith, K.1    Gatica-Perez, D.2
  • 13
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-time tracking
    • Ft. Collins, CO, Jun.
    • C. Stauffer and E. Crimson, Adaptive background mixture models for real-time tracking. In Proc. IEEE CVPR, Ft. Collins, CO, Jun. 1999.
    • (1999) Proc. IEEE CVPR
    • Stauffer, C.1    Crimson, E.2
  • 15
    • 5044237672 scopus 로고    scopus 로고
    • Collaborative tracking of multiple targets
    • Washington, DC. Jun.
    • T. Yu and Y. Wu. Collaborative tracking of multiple targets. In Proc. IEEE CVPR, Washington, DC. Jun. 2004.
    • (2004) Proc. IEEE CVPR
    • Yu, T.1    Wu, Y.2
  • 16
    • 5044227162 scopus 로고    scopus 로고
    • Tracking multiple humans in crowded environment
    • Washington DC, Jun.
    • T. Zhao and R. Nevada. Tracking multiple humans in crowded environment. In Proc. IEEE CVPR, Washington DC, Jun. 2004.
    • (2004) Proc. IEEE CVPR
    • Zhao, T.1    Nevada, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.