Fast multiple target tracking using particle filters

Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05

Volumn 2005, Issue , 2005, Pages 530-535

  Morelande, Mark R ^a   Mušicki, Darko ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; ELECTRIC FILTERS; TARGETS;

GAUSSIAN APPROXIMATION; PARTICLE FILTERS;

TRACKING (POSITION);

EID: 33847194253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582210     Document Type: Conference Paper

References (18)

1. Y. Bar-Shalom and E. Tse. Tracking in a cluttered environment with probabilistic data association. Automatica, 11:451-460, 1975.
2. S.S. Blackman. Multiple-target Tracking with Radar Applications. Artech House, 1986.
3. R.S. Bucy and K.D. Senne. Realization of optimum discrete-time nonlinear estimators. In Proceedings of the Symposium on Nonlinear Estimation Theory and Its Applications, pages 6-17, San Diego, USA, 1971.
4. D. Crisan and A. Doucet. A survey of convergence results on particle filtering methods for practitioners. IEEE Transactions on Signal Processing, 50(3):736-746, 2002.
5. F. Daum and J. Huang. Curse of dimensionality and particle filters. In Proceedings of the Aerospace Conference, 2003.
6. A. Doucet, N. de Freitas, and N. Gordon, editors. Sequential Monte Carlo Methods in Practice. Springer-Verlag, New York, 2001.
7. A. Doucet, S. Godsill, and C. Andrieu. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10:197-208, 2000.
8. R.J. Fitzgerald. Development of practical PDA logic for multitarget tracking by microprocessor. In Bar-Shalom Y., editor, Multitarget-Multisensor Tracking: Advanced Applications, chapter 1. Artech House, 1990.
9. T.E. Fortmann, Y. Bar-Shalom, and M. Scheffe. Sonar tracking of multiple targets using joint probabilistic data association. IEEE Journal of Oceanic Engineering, 8(3):173-183, 1983.
10. N.J. Gordon, D.J. Salmond, and A.F.M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings Part F, 140(2):107-113, 1993.
11. D. Mušicki. Limits of linear multi-target tracking. In Proceedings of the International Conference on Information Fusion, Philadelphia, USA, 2005.
12. D. Mušicki and R. Evans. Joint integrated probabilistic data assocition: JIPDA. IEEE Transactions on Aerospace and Electronic Systems, 40(3):1093-1099, 2004.
13. D. Mušicki, B.E. La Scala, and R. Evans. Multi-target tracking in clutter without clutter assignment. In Proceedings of the IEEE International Conference on Decision and Control, Bahamas, 2004.
14. M.K. Pitt and N. Shephard. Filtering via simulation: auxiliary particle filters. Journal of the American Statistical Association, 94:590-599, 1999.
15. D.B. Reid. An algorithm for tracking multiple targets. IEEE Transactions on Automatic Control, 24(6):843-854, 1979.
16. J.A. Roecker. A class of near optimal JPDA algorithms. IEEE Transactions on Aerospace and Electronic Systems, 30(2):504-510, 1994.
17. J.A. Roecker and G.L. Phillis. Suboptimal joint probabilistic data assocition. IEEE Transactions on Aerospace and Electronic Systems, 29(2):510-517, 1993.
18. B. Zhou and N.K. Bose. Multitarget tracking in clutter: Fast algorithms for data association. IEEE Transactions on Aerospace and Electronic Systems, 29(2):352-363, 1993.