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Volumn 2005, Issue , 2005, Pages 1286-1291

Tracking variable number of targets using sequential Monte Carlo methods

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; PROBABILITY; SIGNAL DETECTION; SIGNAL FILTERING AND PREDICTION; STATE ESTIMATION;

EID: 33947145657     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ssp.2005.1628794     Document Type: Conference Paper
Times cited : (15)

References (17)
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    • (2001) Sequential Monte Carlo in Practice
  • 4
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 5
    • 0032359151 scopus 로고
    • Sequential Monte Carlo Methods for Dynamic Systems
    • J. Liu and R. Chen, "Sequential Monte Carlo Methods for Dynamic Systems," Journal of the American Statistical Association, vol. 93, no. 443, pp. 1032-1044, 1993.
    • (1993) Journal of the American Statistical Association , vol.93 , Issue.443 , pp. 1032-1044
    • Liu, J.1    Chen, R.2
  • 6
    • 0027580559 scopus 로고
    • Novel approach to non-linear/non-Gaussian Bayesian state estimation
    • N.J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to non-linear/non-Gaussian Bayesian state estimation," IEE Proceedings-F, vol. 140, no. 2, pp. 107-113, 1993.
    • (1993) IEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 7
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal of Computational and Graphical Statistics, vol. 5, no. 1, pp. 1-25, 1996.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 11
    • 33947177568 scopus 로고    scopus 로고
    • J. Vermaak, S. Maskell, and M. Briers, Tracking a variable number of targets using the existence joint probabilistic data association filter, Tech. Rep., 2005, Download from http://www-sigproc.eng.cam.ac.uk/ jv211.
    • J. Vermaak, S. Maskell, and M. Briers, "Tracking a variable number of targets using the existence joint probabilistic data association filter," Tech. Rep., 2005, Download from http://www-sigproc.eng.cam.ac.uk/ jv211.
  • 12
    • 33751512690 scopus 로고    scopus 로고
    • A hybrid approach for online joint detection and tracking for multiple targets
    • See http
    • W. Ng, J. Li, S. Godsill, and J. Vermaak, "A hybrid approach for online joint detection and tracking for multiple targets," in Proceedings of the IEEE Aerospace Conference 2005, 2005, See http://www-sigproc.eng.cam.ac.uk/kfn20/.
    • (2005) Proceedings of the IEEE Aerospace Conference 2005
    • Ng, W.1    Li, J.2    Godsill, S.3    Vermaak, J.4
  • 13
    • 33947148598 scopus 로고    scopus 로고
    • J. Li, W. Ng, S. Godsill, and J. Vermaak, Tracking variable number of targets using sequential Monte Carlo methods, 2005, Accepted by the Eighth International Conference on Information Fusion 2005. See http://www-sigproc.eng.cam.ac.uk/kfn20/.
    • J. Li, W. Ng, S. Godsill, and J. Vermaak, "Tracking variable number of targets using sequential Monte Carlo methods," 2005, Accepted by the Eighth International Conference on Information Fusion 2005. See http://www-sigproc.eng.cam.ac.uk/kfn20/.
  • 15
    • 0036475447 scopus 로고    scopus 로고
    • A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking
    • Feb
    • M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, Feb. 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
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  • 17
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    • Sequential Monte Carlo for maneuvring target tracking in clutter
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.