Embedding motion in model-based stochastic tracking

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2004, Pages 815-818

  Odobez, J M ^a   Gatica Perez, D ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORK; PARTICLE FILTERING (PF); VISUAL DISTRACTORS; VISUAL TRACKING;

ALGORITHMS; COMPUTER SIMULATION; COMPUTER VISION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; RANDOM PROCESSES;

MOTION ESTIMATION;

EID: 10044254224     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334383     Document Type: Conference Paper

References (16)

1. M. J. Black and A. D. Jepson. A probabilistic framework for matching temporal trajectories: Condensation-based recognition of gestures and expressions. In ECCV, pp 909-924, 1998.
2. A. Blake and M. Isard. Active Contours. Springer, 1998.
3. D. Comaniciu, V. Ramesh, P. Meer. Real-time tracking of non-rigid objects using mean shift. In CVPR, 2000.
4. A. Doucet, N. de Freitas, and N. Gordon. Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001.
5. M. Isard and A. Blake. ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework In 5th ECCV, pp 893-908, 1998.
6. C. Kervrann, F. Heitz and P. Pérez Statistical model-based estimation and tracking of non-rigid motion In ICPR, 1996.
7. J.-M. Odobez and P. Bouthemy Robust multiresolution estimation of parametric motion models In Jl of Visual Com. and Image Representation, vol 6, num. 4, pp 348-365, 1995.
8. P. Pérez, C. Hue, I. Vermaak, and M. Gangnet. Color-based probabilistic tracking. In ECCV, pp 661-675, June 2002.
9. M.K. Pitt and N. Shephard. Filtering via Simulation: Auxiliary Particle Filters In Journal of the American Statistical Association, pp 590-599, vol. 94, num. 446, 1999.
10. Y. Raja, S. McKenna, and S. Gong. Colour model selection and adaptation in dynamic scenes. In ECCV, 1998.
11. J-M. Odobez and D. Gatica-Perez Embedding Motion in Model-Based Stochastic Tracking IDIAP RR-03-72, 2003.
12. Y. Rui and Y. Chen. Better proposal distribution: object tracking using unscented particle filter In CVPR, 2001.
13. J. Sullivan and J. Rittscher Guiding random particles by deterministic search. In ICCV, pp 323-330, 2001.
14. H. Tao, H. S. Sawhney, and R. Kumar. Object tracking with bayesian estimation of dynamic layer representations. IEEE PAMI, 24(1):75-89, 2001.
15. th ICCV, 2001.
16. th ICCV, 2001.