Improved particle filter in sensor fusion for tracking random moving object

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 1, Issue , 2004, Pages 476-481

  Jing, Liu ^a   Vadakkepat, Prahlad ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Particle Filter; Random Moving Object Tracking; Sensor Fusion

Indexed keywords

BAYESIAN BOOTSTRAP; PARTICLE FILTERS; RANDOM MOVING OBJECT TRACKING;

ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; KALMAN FILTERING; MOBILE ROBOTS; MONTE CARLO METHODS; NAVIGATION; PROBLEM SOLVING; TRACKING (POSITION); VELOCITY MEASUREMENT;

SENSOR DATA FUSION;

EID: 4644306254     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.2004.1351092     Document Type: Conference Paper

References (23)

1. M. 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, pp. 174 -188, 2002.
2. E. Beadle and P. Djuric, "A fast-weighted bayesian bootstrap filter for nonlinear model state estimation," IEEE Transactions on Aerospace and Electronic Systems, vol. 33, pp. 338 -343, 1997.
3. S. Zhou, V. Krueger, and R. Chellappa, "Face recognition from video: a condensation approach," Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 212 -217, May 2002.
4. W. R. Gilks and C. Berzuini, "Following a moving target - monte carlo inference for dynamic bayesian models," Journal of Royal Statistical Society, vol. 63, pp. 127-146, 2001.
5. R. Aykroyd, "Bayesian estimation for homogeneous and inhomogeneous gaussian random fields," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 533 -539, 1998.
6. J. MacCormick and A. Blake, "A probabilistic exclusion principle for tracking multiple objects," The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 1, pp. 572 -578, 1999.
7. Z. Zeng and S. Ma, "Head tracking by active particle filtering," Proceedings of Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 82-87, May 2002.
8. F. Gunnarsson and N. Bergman, "Particle filters for positioning, navigation, and tracking," IEEE Transactions on Signal Processing, vol. 50, pp. 425 -437, 2002.
9. L. Bretzner and I. Laptev, "Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering," Proceedings of the fifth international conference on automatic face and gesture recognition, 2002.
10. D. Fox and W. Burgard, "Monte carlo localization: Efficient position estimation for mobile robotics," American Association for Artificial Intelligence, pp. 343-349, 1999.
11. M.J.Black and D.J.Fleet., "Probabilities detection and tracking of motion discontinuities," International Journal of Computer Vision, vol. 38, pp. 229-243, 2000.
12. A. Doucet, B.-N. Vo, C. Andrieu, and M. Davy, "Particle filtering for multi-target tracking and sensor management," Proceedings of the Fifth International Conference on Information Fusion, vol. 1, pp. 474 -481, 2002.
13. A. Marrs, "Asynchronous multi-sensor tracking in clutter with uncertain sensor locations using bayesian sequential monte carlo methods," Aerospace Conference, IEEE Proceedings., vol. 5, pp. 2171 -2178, 2001.
14. M. Hernandez, "Efficient data fusion for multi-sensor management," Aerospace Conference, IEEE Proceedings., vol. 5, pp. 2161 -2169, 2001.
15. S. Challa, M. Palaniswami, and A. Shilton, "Distributed data fusion using support vector machines," Proceedings of the Fifth International Conference on Information Fusion, vol. 2, pp. 881 -885, 2002.
16. G. Loy, L. Fletcher, N. Apostoloff, and A. Zelinsky, "An adaptive fusion architecture for target tracking," Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 248-253, May 2002.
17. A. Doucet and N. Gordon, "Efficient particle filters for tracking manoeuvring targets in clutter," IEE Colloquium on Target Tracking: Algorithms and Applications, pp. 4/1 -4/5, 1999.
18. C. Hue, L. C. J.-P., and P. Perez, "Sequential monte carlo methods for multiple target tracking and data fusion," IEEE Transactions on Signal Processing, vol. 50, pp. 309 -325, 2002.
19. C. Hue, J.-P. Le Cadre, and P. Perez, "Tracking multiple objects with particle filtering," IEEE Transactions on Aerospace and Electronic Systems, vol. 38, pp. 791-812, 2002.
20. N.J.Gordon and D.J.Smith, "Improved approach to nonlinear/ nonguassian bayesian state estimation," IEE Proceedings-F, vol. 140, pp. 107-113, 1993.
21. J.Carpenter, P.Clifford, and P.Fearnhead, "Improved particle filter for nonlinear problems," IEE Proc.-Radar,Sonar Navig., vol. 146, 1999.
22. J. S. Liu, Monte Carlo Strategies in Scientific Computing. New York: Springer Press, 2001.
23. A.Doucet, "On sequential monte carlo methods for bayesian filtering," Tech. Rep.,Dept., Eng., Univ. Cambridge, UK, 1998.