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Volumn 3024, Issue , 2004, Pages 279-290

An MCMC-based particle filter for tracking multiple interacting targets

Author keywords

[No Author keywords available]

Indexed keywords

CHAINS; COMPUTER VISION; IMPORTANCE SAMPLING; MARKOV PROCESSES; MOTION ANALYSIS; STRUCTURAL FRAMES;

EID: 35048868406     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24673-2_23     Document Type: Article
Times cited : (204)

References (23)
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    • Cox, I., Leonard, J.: Modeling a dynamic environment using a Bayesian multiple hypothesis approach. Artificial Intelligence 66 (1994) 311-344
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    • Cox, I.1    Leonard, J.2
  • 5
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    • Rasmussen, C., Hager, G.: Probabilistic data association methods for tracking complex visual objects. PAMI 23 (2001) 560-576
    • (2001) PAMI , vol.23 , pp. 560-576
    • Rasmussen, C.1    Hager, G.2
  • 7
    • 0034833475 scopus 로고    scopus 로고
    • Automatically tracking and analyzing the behavior of live insect colonies
    • Montreal
    • Balch, T., Khan, Z., Veloso, M.: Automatically tracking and analyzing the behavior of live insect colonies. In: Proc. Autonomous Agents 2001, Montreal (2001)
    • (2001) Proc. Autonomous Agents 2001
    • Balch, T.1    Khan, Z.2    Veloso, M.3
  • 8
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N., Salmond, D., Smith, A.: Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Procedings F 140 (1993) 107-113
    • (1993) IEE Procedings F , vol.140 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.3
  • 9
    • 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: Eur. Conf. on Computer Vision (ECCV). (1996) 343-356
    • (1996) Eur. Conf. on Computer Vision (ECCV) , pp. 343-356
    • Isard, M.1    Blake, A.2
  • 10
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    • 0033283939 scopus 로고    scopus 로고
    • A probabilistic exclusion principle for tracking multiple objects
    • MacCormick, J., Blake, A.: A probabilistic exclusion principle for tracking multiple objects. In: Intl. Conf. on Computer Vision (ICCV). (1999) 572-578
    • (1999) Intl. Conf. on Computer Vision (ICCV) , pp. 572-578
    • MacCormick, J.1    Blake, A.2
  • 21
    • 0003860037 scopus 로고    scopus 로고
    • Gilks, W., Richardson, S., Spiegelhalter, D., eds.: Chapman and Hall
    • Gilks, W., Richardson, S., Spiegelhalter, D., eds.: Markov chain Monte Carlo in practice. Chapman and Hall (1996)
    • (1996) Markov Chain Monte Carlo in Practice
  • 22
    • 0003665481 scopus 로고    scopus 로고
    • Doucet, A., de Freitas, N., Gordon, N., eds.: Springer-Verlag, New York
    • Doucet, A., de Freitas, N., Gordon, N., eds.: Sequential Monte Carlo Methods In Practice. Springer-Verlag, New York (2001)
    • (2001) Sequential Monte Carlo Methods in Practice
  • 23
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    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W.: Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57 (1970) 97-109
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    • Hastings, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.