Improving tracking by handling occlusions

Lecture Notes in Computer Science

Volumn 3687, Issue PART II, 2005, Pages 384-393

  Rowe, Daniel ^a   Rius, Ignasi ^a   Gonzàlez, Jordi ^a   Villanueva, Juan J ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; IMAGING TECHNIQUES; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; PATTERN RECOGNITION; VISION; MONTE CARLO METHODS; TARGET TRACKING;

MULTIPLE TARGETS; TARGET-MODEL UPDATE CONDITIONS; TRACKING TECHNIQUES; NON LINEAR; PARTICLE FILTER; PARTICLE FILTERING; SUCCESSIVE DETECTIONS;

PARTICLE BEAM TRACKING; PATTERN RECOGNITION;

EID: 27244447093     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11552499_44     Document Type: Conference Paper

References (12)

1. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking. Tran. on Signal Processing, 50(2):174-188, 2002.
2. D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(5):564-577, 2003.
3. J. Deutscher and I. Reid. Articulated body motion capture by stochastic search. International Journal of Computer Vision, 61(2):185-205, 2005.
4. A. Doucet. On sequential simulation-based methods for bayesian filtering. Technical Report TR310, Cambridge University, 1998.
5. M. Isard and A. Blake. Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28, 1998.
6. O. King and D. A. Forsyth. How does CONDENSATION behave with a finite number of samples? In 6th ECCV, Dublin, Ireland, volume 1, pages 695-709, 2000.
7. J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. In ICCV, pages 572-578, 1999.
8. K. Nummiaro, E. B. Koller-Meier, and L. Van Gool. An adaptive color-based particle filter. Image and Vision Computing, 21(1):99-110, 2003.
9. D. Rowe, I. Rius, J. Gonzàlez, X. Roca, and J.J. Villanueva. Probabilistic Image-based Tracking: Improving Particle Filtering. In 2nd IbPRIA, Estoril, Portugal, 2005.
10. R. Russell and P. Norvig. Artificial Intelligence, a Modern Approach, chapter 13-15. Prentice Hall, second edition, 2003.
11. R. van der Merwe, N. de Freitas, A. Doucet, and E. Wan. The Unscented Particle Filter. Technical Report TR380, Cambridge University, 2000.
12. X. Varona, J. Gonzàlez, X. Roca, and J.J. Villanueva. iTrack: Image-based Probabilistic Tracking of People. In 15th ICPR, Barcelona, Spain, volume 3, pages 1110-1113, 2000.