메뉴 건너뛰기




Volumn 41, Issue 4, 2005, Pages 1224-1245

Sequential Monte Carlo methods for multi-target filtering with random finite sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; INTEGRAL EQUATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MONTE CARLO METHODS; PROBABILITY; SET THEORY;

EID: 27544460134     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2005.1561884     Document Type: Article
Times cited : (1314)

References (48)
  • 1
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking
    • Arulampalam, S., Maskell, S., Gordon, N. J., and Clapp, T. A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50, 2 (2002), 14-188.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, S.1    Maskell, S.2    Gordon, N.J.3    Clapp, T.4
  • 2
    • 0010447886 scopus 로고
    • ICM for object recognition
    • Y. Dodge and J. Whittaker (Eds.), Heidelberg: Physica/Springer
    • Baddeley, A. J., and van Lieshout, M. N. ICM for object recognition. In Y. Dodge and J. Whittaker (Eds.), Computational Statistics, Vol. 2, Heidelberg: Physica/Springer, 1992, 271-286.
    • (1992) Computational Statistics , vol.2 , pp. 271-286
    • Baddeley, A.J.1    van Lieshout, M.N.2
  • 7
    • 0001821084 scopus 로고    scopus 로고
    • Particle filters - A theoretical perspective
    • A. Doucet, N. de Freitas, and N. J. Gordon (Eds.), New York: Springer-Verlag, May
    • Crisan, D. Particle filters - A theoretical perspective. In A. Doucet, N. de Freitas, and N. J. Gordon (Eds.), Sequential Monte Carlo Methods in Practice, New York: Springer-Verlag, May 2001, 17-41.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 17-41
    • Crisan, D.1
  • 10
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet, A., Godsill, S. J., and Andrieu, C. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistical Computing, 10 (2000), 197-208.
    • (2000) Statistical Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.J.2    Andrieu, C.3
  • 13
    • 0002218961 scopus 로고    scopus 로고
    • Likelihood inference for spatial point processes
    • Barndorff-Nielsen, et. al (Eds.)
    • Geyer, C. Likelihood inference for spatial point processes. In Barndorff-Nielsen, et. al (Eds.), Stochastic Geometry Likelihood and Computation, 1999, 79-140.
    • (1999) Stochastic Geometry Likelihood and Computation , pp. 79-140
    • Geyer, C.1
  • 14
    • 0035648076 scopus 로고    scopus 로고
    • Following a moving target-Monte Carlo inference for dynamic Bayesian models
    • Series B
    • Gilks, W., and Berzuini, C. Following a moving target-Monte Carlo inference for dynamic Bayesian models. Journal of the Royal Statistical Society, Series B, 63 (2001), 127-146.
    • (2001) Journal of the Royal Statistical Society , vol.63 , pp. 127-146
    • Gilks, W.1    Berzuini, C.2
  • 16
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D., and Smith, A. Novel approach to nonlinear/ non-Gaussian Bayesian state estimation. IEE Proceedings, Pt. F, 140, 2 (1993), 107-113.
    • (1993) IEE Proceedings , vol.140 , Issue.2 PART F , pp. 107-113
    • Gordon, N.J.1    Salmond, D.2    Smith, A.3
  • 18
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and Bayesian model determination
    • Green, P. J. Reversible jump MCMC computation and Bayesian model determination. Biometrika, 82 (1995), 711-732.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 23
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa, G. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. Journal of Computational and Graphical Statistics, 5, 1 (1996), 1-25.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 24
    • 0000199641 scopus 로고
    • Global integrated data fusion
    • (unclassified), Sandia National Laboratories, Albuquerque, NM
    • Mahler, R. Global integrated data fusion. In Proceedings of the 7th National Symposium on Sensor Fusion, vol. 1 (unclassified), Sandia National Laboratories, Albuquerque, NM, 1994, 187-199.
    • (1994) Proceedings of the 7th National Symposium on Sensor Fusion , vol.1 , pp. 187-199
    • Mahler, R.1
  • 26
    • 0002474743 scopus 로고    scopus 로고
    • A theoretical foundation for the Stein-Winter probability hypothesis density (PHD) multi-target tracking approach
    • (unclassified), San Antonio, TX, June
    • Mahler, R. A theoretical foundation for the Stein-Winter probability hypothesis density (PHD) multi-target tracking approach. In Proceedings of the 2002 MSS National Symposium on Sensor and Data Fusion, vol. I, (unclassified), San Antonio, TX, June 2000.
    • (2000) Proceedings of the 2002 MSS National Symposium on Sensor and Data Fusion , vol.1
    • Mahler, R.1
  • 28
    • 77956536967 scopus 로고    scopus 로고
    • Random set theory for target tracking and identification
    • D. Hall and J. Llinas (Eds.), Boca Raton, FL: CRC Press
    • Mahler, R. Random set theory for target tracking and identification. In D. Hall and J. Llinas (Eds.), Data Fusion Hand Book, Boca Raton, FL: CRC Press, 2001, 14/1-14/33.
    • (2001) Data Fusion Hand Book
    • Mahler, R.1
  • 29
    • 1642401353 scopus 로고    scopus 로고
    • Multi-target Bayes filtering via first-order multi-target moments
    • Mahler, R. Multi-target Bayes filtering via first-order multi-target moments. IEEE Transactions on Aerospace and Electronic Systems. 39, 4 (2003), 1152-1178.
    • (2003) IEEE Transactions on Aerospace and Electronic Systems , vol.39 , Issue.4 , pp. 1152-1178
    • Mahler, R.1
  • 33
    • 0029405830 scopus 로고
    • Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition
    • Miller, M. I., Srivastava, A., and Grenander, U. Conditional-mean estimation via jump-diffusion processes in multiple target tracking/ recognition. IEEE Transactions on Signal Processing, 43, 11 (1995), 2678-2690.
    • (1995) IEEE Transactions on Signal Processing , vol.43 , Issue.11 , pp. 2678-2690
    • Miller, M.I.1    Srivastava, A.2    Grenander, U.3
  • 34
    • 0001625977 scopus 로고    scopus 로고
    • Markov chain Monte Carlo and spatial point processes
    • Barndorff-Nielsen, et al. (Eds.)
    • Moller, J. Markov chain Monte Carlo and spatial point processes. In Barndorff-Nielsen, et al. (Eds.), Stochastic Geometry Likelihood and Computation, 1999, 141-172.
    • (1999) Stochastic Geometry Likelihood and Computation , pp. 141-172
    • Moller, J.1
  • 35
    • 0022723742 scopus 로고
    • Tracking and identifying multiple targets without apriori identifications
    • Mori, S., Chong, C., Tse, E., and Wishner, R. Tracking and identifying multiple targets without apriori identifications. IEEE Transactions on Automatic Control, AC-21 (1986), 401-409.
    • (1986) IEEE Transactions on Automatic Control , vol.AC-21 , pp. 401-409
    • Mori, S.1    Chong, C.2    Tse, E.3    Wishner, R.4
  • 36
    • 0036475204 scopus 로고    scopus 로고
    • A Bayesian approach to tracking multiple targets using sensor arrays and particle filters
    • Orton, M., and Fitzgerald, W. A Bayesian approach to tracking multiple targets using sensor arrays and particle filters. IEEE Transactions on Signal Processing, 50, 2 (2002), 216-223.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 216-223
    • Orton, M.1    Fitzgerald, W.2
  • 37
    • 0000917410 scopus 로고    scopus 로고
    • On optimal filtering of multitarget systems based on point process observations
    • Portenko, N., Salehi, H., and Skorokhod, A. On optimal filtering of multitarget systems based on point process observations. Random Operators and Stochastic Equations, 5, 1 (1997), 1-34.
    • (1997) Random Operators and Stochastic Equations , vol.5 , Issue.1 , pp. 1-34
    • Portenko, N.1    Salehi, H.2    Skorokhod, A.3
  • 38
    • 0004225404 scopus 로고    scopus 로고
    • (2nd ed.). New York: Springer-Verlag
    • Shiryaev, A. Probability (2nd ed.). New York: Springer-Verlag, 1996.
    • (1996) Probability
    • Shiryaev, A.1
  • 42
    • 29844434499 scopus 로고
    • An adaptive theory of probabilistic evidence accrual
    • Los Alamos National Laboratotries Report, LA-UR-93-3336
    • Stein, M. C., and Winter, C. L. An adaptive theory of probabilistic evidence accrual. Los Alamos National Laboratotries Report, LA-UR-93-3336, 1993.
    • (1993)
    • Stein, M.C.1    Winter, C.L.2
  • 45
    • 27544500834 scopus 로고    scopus 로고
    • Random sets for multitarget tracking and data fusion
    • Licentiate Thesis, Tampere University of Technology
    • Vihola, M. Random sets for multitarget tracking and data fusion. Licentiate Thesis, Tampere University of Technology, 2004.
    • (2004)
    • Vihola, M.1
  • 47
    • 0023537449 scopus 로고
    • A random point process approach to multi-object tracking
    • Washburn, R. A random point process approach to multi-object tracking. In Proceedings of the American Control Conference, vol. 3, 1987, 1846-1852.
    • (1987) Proceedings of the American Control Conference , vol.3 , pp. 1846-1852
    • Washburn, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.