"XPFCP": An extended particle filter for tracking multiple and dynamic objects in complex environments

IEEE International Symposium on Industrial Electronics

Volumn IV, Issue , 2005, Pages 1587-1592

  Marron M ^a   Sotelo, M A ^a   Garcia J C ^a   Fernandez D ^a   Pizarro, D ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ONLINE SYSTEMS; PROBABILISTIC LOGICS; ROBUSTNESS (CONTROL SYSTEMS); STORAGE ALLOCATION (COMPUTER);

DYNAMIC OBJECTS; EXTENDED PARTICLE FILTER (XPF); PARTICLE FILTER (PF); STEREOVISION MEASUREMENTS;

OBJECT RECOGNITION;

EID: 33748356468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2005.1529169     Document Type: Conference Paper

References (14)

1. D. Fox, W. Burgard, F. Dellaert, and S. Thrun, "MonteCarlo Localization. Efficient Position Estimation for Mobile Robots" Proc. of the Sixteenth National Conference on Artificial Intelligence (AAAI'99), 1999.
2. W. Burgard et al., "Experiences with an Interactive Museum Tour Guide", Journal Artificial Intelligence, vol. 114(1), pp. 3-55, 1999.
3. M. Isard and A. Blake, "Condensation: Conditional Density Propagation for Visual Tracking", International Journal of Computer Vision, vol. 29 (1), pp. 5-28, 1998.
4. M. Isard and A. Blake, "ICondensation: Unifying Low-Level and High-Level Tracking in a Stochastic Framework", Proc. 5th European Conference in Computer Vision, vol. 1, pp. 893-908, 1998.
5. M. Orton and W. Fitzgerald, "A Bayesian Approach to Track Multiple Targets Using Sensor Arrays and Particle Filters", IEEE Transactions on Signal Processing, vol. 50(2), pp. 216-223, February 2002.
6. M. Isard and J. MacCormick, "Bamble. A Bayesian Multiple-Blob Tracker", Proc. of the International Conference in Computer Vision, vol. 2, pp. 34-41, 2001.
7. D. Schulz, W. Burgard, D. Fox and A.B. Cremers, "Tracking Multiple Moving Objects with a Mobile Robot", Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2001.
8. M. Marron, M.A. Sotelo and J.C. García, "Tracking Multiple and Dynamic Objects with an Extended Particle Filter and an Adapted K-Means Clustering Algorithm", Preprints of the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV), July 2004.
9. E.B. Koller-Meier and F. Ade, "Tracking Multiple Objects Using a Condensation Algorithm", Journal of Robotics and Autonomous Systems, pp. 93-105, 2001.
10. G. Olague, R. Ramírez, "Síntesis de Imágenes a partir de Fotografías", DYNA 133, July, 2001.
11. A. Doucet, J.F.G. de Freitas, and N.J. Gordon, Sequential MonteCarlo Methods in Practice. Springer-Verlag, 2000.
12. R. Van der Merwe, A. Doucet, N. de Freitas and E. Wan, "The Unscented Particle Filter", Advances in Neural Information Processing Systems 13, November 2001.
13. M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp "A Tutorial on Particle Filters for Online Nonlinear Non-Gaussian Bayesian Tracking", IEEE Trans. Signal Processing, vol. 50(2), pp. 174-188, February 2002.
14. T. Kanungo, "An Efficient k-Means Clustering Algorithm: Analysis and Implementation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24(7), 2002.