A. Agarwal and B. Triggs, 3D human pose from silhouettes by relevance vector regression, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315258

URL : https://hal.archives-ouvertes.fr/inria-00548551

A. Agarwal and B. Triggs, Learning to track 3D human motion from silhouettes, Twenty-first international conference on Machine learning , ICML '04, 2004.
DOI : 10.1145/1015330.1015343

URL : https://hal.archives-ouvertes.fr/inria-00548549

A. Agarwal and B. Triggs, Tracking Articulated Motion Using a Mixture of Autoregressive Models, Proc. European Conf. Computer Vision, 2004.
DOI : 10.1007/978-3-540-24672-5_5

URL : https://hal.archives-ouvertes.fr/inria-00548550

V. Athitsos and S. Sclaroff, Inferring Body Pose without Tracking Body Parts, Proc. Int'l Conf. Computer Vision and Pattern Recognition, 2000.

V. Athitsos and S. Sclaroff, Estimating 3D hand pose from a cluttered image, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211500

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

C. Bishop, Neural Networks for Pattern Recognition, chapter 6, 1995.

M. Brand, Shadow puppetry, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1237-1244, 1999.
DOI : 10.1109/ICCV.1999.790422

C. Bregler and J. Malik, Tracking people with twists and exponential maps, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.8-15, 1998.
DOI : 10.1109/CVPR.1998.698581

K. Grauman, G. Shakhnarovich, and T. Darrell, Inferring 3D structure with a statistical image-based shape model, Proceedings Ninth IEEE International Conference on Computer Vision, pp.641-648, 2003.
DOI : 10.1109/ICCV.2003.1238408

N. Howe, M. Leventon, and W. Freeman, Bayesian Reconstruction of 3D Human Motion from Single-Camera Video, Neural Information Processing Systems, 1999.

M. Isard and A. Blake, CONDENSATION?Conditional Density Propagation for Visual Tracking, International Journal of Computer Vision, vol.29, issue.1, pp.5-28, 1998.
DOI : 10.1023/A:1008078328650

T. Joachims, Making Large-Scale SVM Learning Practical Advances in Kernel Methods?Support Vector Learning, 1999.

F. Jurie and M. Dhome, Hyperplane approximation for template matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.996-1000, 2002.
DOI : 10.1109/TPAMI.2002.1017625

URL : https://hal.archives-ouvertes.fr/inria-00548267

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

D. J. Mackay, Comparison of Approximate Methods for Handling Hyperparameters, Neural Computation, vol.39, issue.5, pp.1035-1068, 1999.
DOI : 10.1007/BF01437407

G. Mori and J. Malik, Estimating Human Body Configurations Using Shape Context Matching, Proc. European Conf. Computer Vision, pp.666-680, 2002.
DOI : 10.1007/3-540-47977-5_44

D. Ormoneit, H. Sidenbladh, M. Black, and T. Hastie, Learning and Tracking Cyclic Human Motion, Neural Information Processing Systems, pp.894-900, 2000.

V. Pavlovic, J. Rehg, and J. Maccormick, Learning Switching Linear Models of Human Motion, Neural Information Processing Systems, pp.981-987, 2000.

Y. Rubner, C. Tomasi, and L. J. Guibas, A metric for distributions with applications to image databases, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998.
DOI : 10.1109/ICCV.1998.710701

G. Shakhnarovich, P. Viola, and T. Darrell, Fast pose estimation with parameter-sensitive hashing, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238424

H. Sidenbladh, M. Black, and L. Sigal, Implicit Probabilistic Models of Human Motion for Synthesis and Tracking, Proc. European Conf. Computer Vision, 2002.
DOI : 10.1007/3-540-47969-4_52

C. Sminchisescu and B. Triggs, Kinematic jump processes for monocular 3D human tracking, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211339

URL : https://hal.archives-ouvertes.fr/inria-00548223

A. Smola and B. Schö-lkpof, A tutorial on support vector regression, Statistics and Computing, vol.14, issue.3, 1998.
DOI : 10.1023/B:STCO.0000035301.49549.88

B. Stenger, A. Thayananthan, P. Torr, and R. Cipolla, Filtering using a tree-based estimator, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238467

C. Taylor, Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image, Proc. Int'l Conf. Computer Vision and Pattern Recognition, 2000.

M. Tipping, The Relevance Vector Machine, Neural Information Processing Systems, 2000.

M. Tipping, Sparse Bayesian Learning and the Relevance Vector Machine, J. Machine Learning Research, vol.1, pp.211-244, 2001.

K. Toyama and A. Blake, Probabilistic tracking in a metric space, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.50-59, 2001.
DOI : 10.1109/ICCV.2001.937599

V. Vapnik, The Nature of Statistical Learning Theory, 1995.

O. Williams, A. Blake, and R. Cipolla, A sparse probabilistic learning algorithm for real-time tracking, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238366