Appearance-guided particle filtering for articulated hand tracking

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 235-242

  Chang, Wen Yan ^a,b   Chen, Chu Song ^a   Hung, Yi Ping ^a,b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; MONTE CARLO METHODS; MOTION ESTIMATION; PROBABILITY; SIGNAL FILTERING AND PREDICTION;

APPEARANCE-GUIDED PARTICLE FILTERING (AGPF); BAYESIAN FORMULATION; HAND TRACKING; MONTE CARLO METHOD;

TRACKING (POSITION);

EID: 24644482735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.72     Document Type: Conference Paper

References (16)

1. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. on Signal Processing, pp. 174-188, Vol. 50, No. 2, 2002.
2. V. Athitsos and S. Sclaroff, "Estimating 3D Hand Pose from a Cluttered Image," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 432-439, Vol. 2, 2003.
3. M. Bray, E. Koller-Meier, and L. Van Gool, "Smart particle filtering for 3D hand tracking," Proc. IEEE Int. Conf. Automatic Face & Gesture Recognition, pp. 675-680, 2004.
4. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statist. Comput., Vol. 10, No. 3, pp. 197-208, 2000.
5. M. Isard and A. Blake, "CONDENSATlON-conditional density propagation for visual tracking," Int. J. of Computer Vision, pp. 5-28, Vol. 29, No. 1, 1998.
6. M. Isard and A. Blake, "ICONDENSATION: unifying low-level and high-level tracking in a stochastic framework," Proc. European Conf. Computer Vision, pp.893-908, 1998.
7. J. Y. Lin, Y. Wu, and T. S. Huang, "3D model-based hand tracking using stochastic direct search method," Proc. IEEE Int. Conf. Automatic Face & Gesture Recognition, pp. 693-698, 2004.
8. S. Lu, D. Metaxas, D. Samaras, and J. Oliensis, "Using multiple cues for hand tracking and model refinement," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 443-450, Vol. 2, 2003.
9. R. Rosales, V. Athitsos, L. Sigal, and S. Sclaroff, "3D hand pose reconstruction using specialized mappings," Proc. IEEE Int. Conf Computer Vision, pp. 378-385, Vol. 1, 2001.
10. Y. Rui and Y. Chen, "Better proposal distributions: object tracking using unscented particle filter," Proc. IEEE Conf Computer Vision and Pattern Recognition, pp. 786-793, Vol. 2, 2001.
11. S. Russell and P. Norvig, Artificial intelligence- A modern approach, Prentice-Hall Inc., 1995.
12. B. Stenger, P. R. S. Mendonca, and R. Cipolla, "Model-based 3D tracking of an articulated hand," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 310-315, Vol. 2, 2001.
13. B. Stenger, A. Thayananthan, P. H. S. Torr, and R. Cipolla, "Filtering using a tree-based estimator," Proc. IEEE Int. Conf. Computer Vision, pp. 1063-1070, Vol. 2, 2003.
14. K. Toyama and A. Blake, "Probabilistic tracking in a metric space," Proc. IEEE Int. Conf. Computer Vision, pp. 50-57, Vol. 2, 2001.
15. Y. Wu and T. S. Huang, "Capturing articulated human motion: a divide-and-conquer approach," Proc. IEEE Int. Conf. Computer Vision, pp. 606-611, 1999.
16. Y. Wu, J. Y. Lin, and T. S. Huang, "Capturing natural hand articulation," Proc. IEEE Int. Conf. Computer Vision, pp. 426-432, Vol. 2, 2001.