Szczegóły

Tytuł artykułu

Nonlinear multiple model particle filters algorithm for tracking multiple targets

Tytuł czasopisma

Archives of Control Sciences

Rocznik

2011

Numer

No 1

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Committee of Automatic Control and Robotics PAS

Data

2011

Identyfikator

ISSN 1230-2384

Referencje

Sebbagh A. (2009), Particle filtering for air craft tracking with bearings-only measurement, null. ; Hue C. (2002), Tracking multiple objects with particle filtering, IEEE Trans. on Aerospace and Electronic Systems, 38, 3, 791, doi.org/10.1109/TAES.2002.1039400 ; Hue C. (2002), Sequential Monte Carlo methods for multiple target tracking and data fusion, IEEE Trans. on Signal Processing, 50, 2, 309, doi.org/10.1109/78.978386 ; Arnaud D. (1998), On sequential simulation-based methods for Bayesian filtering. ; Arnaud D. (2000), Convergence of sequential Monte Carlo methods. ; Arnaud D. (2001), Sequential Monte Carlo Methods in Practice, 525. ; Gordon N. (1997), A hybrid bootstrap filter for target tracking in clutter, IEEE Trans. on Aerospace and Electronic Systems, 33, 1, 353, doi.org/10.1109/7.570826 ; Gordon N. (1993), Novel approach to nonlinear/non-Gaussian Bayesian state estimation, IEE Proceedings, Pt. F, Radar and Signal Processing, 140, 2, 107, doi.org/10.1049/ip-f-2.1993.0015 ; Kushner H. (1967), Approximations to optimal nonlinear filtering, IEEE Trans. on Automatic Control, AC-12, 5, 546, doi.org/10.1109/TAC.1967.1098671 ; Kushner H. (1967), Dynamical equations for optimum nonlinear filtering, J. of Differential Equations, 3, 179, doi.org/10.1016/0022-0396(67)90023-X ; Wang H. (1999), Precision large scale air traffic surveillance using an IMM estimator with assignment, IEEE Trans. on Aerospace and Electronic Systems, AES-35, 1, 255, doi.org/10.1109/7.745696 ; Isard M. (1998), CONDENSATION-Conditional density propagation for visual tracking, Int. J. of Computer Vision, 29, 1, 5, doi.org/10.1023/A:1008078328650 ; Uhhmann J. (1992), Algorithms for multiple target tracking, American Scientist, 80, 2, 128. ; Kong A. (1994), Sequential imputation method and Bayesian missing data problems, J. of American Statistical Association, 89, 278, doi.org/10.2307/2291224 ; Liu J. (1996), Metropolized independent sampling with comparison to rejection sampling and importance sampling, Statistics and Computing, 6, 113, doi.org/10.1007/BF00162521 ; J. Maccormick: Probabilistic modelling and stochastic algorithms for visual localisation and tracking. Ph.D. dissertation, University of Oxford, Jan., 2000. ; Djouadi M. (2005), IMM based UKF and IMM base EKF algorithms for tracking highly manoeuverable target, Archives of Control Sciences, 15, 1, 19. ; Djouadi M. (2005), A nonlinear algorithm for maneuvering target visual-based tracking, null, 61. ; R. Van Der Merwe (2000), The unscented particle filter. ; Salmond D. (1990), Mixture reduction algorithms for target tracking in clutter, SPIE Signal and Data Processing of Small Targets, 1305, 434. ; Bar-Shalom Y. (2001), Estimation with applications to tracking and navigation, doi.org/10.1002/0471221279

DOI

10.2478/v10170-010-0031-6

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