On MCMC-based particle methods for bayesian filtering: Application to multitarget tracking

CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Volumn , Issue , 2009, Pages 360-363

  Septier, François ^a   Pang, Sze Kim ^a   Carmi, Avishy ^a   Godsill, Simon ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION TECHNIQUES; BAYESIAN FILTERING; CLUTTERED ENVIRONMENTS; HIGH-DIMENSIONAL PROBLEMS; IN-CONTROL; MARKOV CHAIN MONTE CARLO METHOD; MULTI-TARGET TRACKING; NON-LINEAR NON-GAUSSIAN; NUMERICAL SIMULATION; PARTICLE FILTER; PARTICLE METHODS; POSTERIOR DISTRIBUTIONS; SEQUENTIAL MONTE CARLO METHODS; SEQUENTIAL SIMULATION; TRACK MULTIPLE TARGETS;

COMPUTATIONAL EFFICIENCY; COMPUTER SIMULATION; INFERENCE ENGINES; MARKOV PROCESSES; SENSORS; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

MONTE CARLO METHODS;

EID: 77951112277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2009.5413256     Document Type: Conference Paper

References (9)

1. 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.
2. C. Berzuini, N. G. Best, W. R. Gilks, and C. Larizza, "Dynamic Conditional Independence Models and Markov Chain Monte Carlo Methods," Journal of the American Statistical Association, vol.440, pp. 1403-1412, Dec. 1997.
3. Z. Khan, T. Blach, and F. Dellaert, "MCMC-based Particle Filtering for Tracking a Variable Number of Interacting Targets," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, pp. 1805-1819, Nov. 2005.
4. A. Golightly and D. J. Wilkinson, "Bayesian Sequential Inference for Nonlinear Multivariate Diffusions," Statistics and Computing, pp. 323-338, Aug. 2006.
5. S. K. Pang, J. Li, and S. J. Godsill, "Models and Algorithms for Detection and Tracking of Coordinated Groups," in IEEE Aerospace Conference, Mar. 2008, pp. 1-17.
6. F. Septier, A. Carmi, S. K. Pang, and S. J. Godsill, "Multiple Object Tracking Using Evolutionary and Hybrid MCMC-Based Particle Algorithms," in 15th IFAC Symposium on System Identification, (SYSID 2009), Saint-Malo, France, Jul. 2009.
7. W. R. Gilks and C. Berzuini, "Following a Moving Target-Monte Carlo Inference for Dynamic Bayesian Models," Journal of the Royal Statisticsal Society. series B (Statistical Methodology), vol.63, pp. 127-146, 2001.
8. J. Vermaak, S. Maskell, M. Briers, and P. Perez, "A Unifying Framework for Multi-Target Tracking and Existence," in 8th International Conference on Information Fusion, vol.1, Jul. 2005, pp. 25-28.
9. K. Gilholm, S. Godsill, S. Maskell, and D. Salmond, "Poisson Models for Extended Target and Group Tracking," SPIE Conference : Signal and Data Processing of Small Targets, Proceedings of, Aug. 2005.