Variational inference for visual tracking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2003, Pages

  Vermaak, Jaco ^a   Lawrence, Neil D ^b   Pérez, Patrick ^c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY; STATE SPACE METHODS; VARIATIONAL TECHNIQUES;

PARTICLE FILTER; VARIATIONAL INFERENCE; VIDEO SEQUENCE; VISUAL TRACKING;

OBJECT RECOGNITION;

EID: 17644441141     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C. Andrieu, J. F. G. de Freitas, and A. Doucet. Rao-Blackwellised particle filtering via data augmentation. In Advances in Neural Information Processing Systems, volume 13, 2001.
2. Y. Bar-Shalom and T. E. Fortmann. Tracking and Data Association. Academic Press, 1988.
3. J. Deutscher, A. Blake, and I. Reid. Articulated body motion capture by annealed particle filtering. In Proc. Conf. Comp. Vision Pattern Rec., 2000.
4. A. Doucet, S. J. Godsill, and C. Andrieu. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10(3): 197-208, 2000.
5. N. J. Gordon, D. J. Salmond, and A. F. M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings-F, 140(2):107-113, 1993.
6. M. Isard and J. MacCormick. BraMBLe: A Bayesian multiple-blob tracker. In Proc. Int. Conf. Computer Vision, pages II: 34-41, 2001.
7. D. Koller, J. Weber, and J. Malik. Robust multiple car tracking with occlusion reasoning. In Proc. Europ. Conf. Computer Vision, pages 186-196, 1994.
8. J. S. Liu and R. Chen. Sequential Monte Carlo methods for dynamic systems. Journal of the American Statistical Association, 93:1032-1044, 1998.
9. P. Pérez, A. Blake, and M. Gangnet. JetStream: Probabilistic contour extraction with particles. In Proc. Int. Conf. Computer Vision
10. P. Pérez, C. Hue, J. Vermaak, and M. Gangnet. Color-based probabilistic tracking. In Proc. Europ. Conf. Computer Vision, pages I: 661-675, 2002.
11. M. K. Pitt and N. Shephard. Filtering via simulation: Auxialiary particle filter. Journal of the American Statistical Association, 94:590-599, 1999.
12. R. van der Merwe, A. Doucet, J. F. G. de Freitas. and E. Wan. The unscented particle filter. In Advances in Neural Information Processing Systems, volume 12, 2000.
13. S. Waterhouse, D. MacKay, and T. Robinson. Bayesian methods for mixtures of experts. In Advances in Neural Information Processing Systems, volume 8, pages 351-357, 1996.