S. C. Mundermann and T. , Accurately Measuring Human Movement Using Articulated ICP with Soft-joint Constraints and a Repository of Articulated Models, Computer Vision and Pattern Recognition, CVPR07. IEEE Conference on, 2007.

T. Persson, A marker-free method for tracking human lower limb segments based on model matching, International Journal of Bio-Medical Computing, vol.41, issue.2, pp.87-97, 1996.
DOI : 10.1016/0020-7101(95)01161-7

J. C. Goffredo, R. D. Seely, and M. Nixon, Markerless view independent gait analysis with self-camera calibration, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, pp.978-979
DOI : 10.1109/AFGR.2008.4813366

L. W. Wan and B. Yuan, Model-Based Markerless Human Body Motion Capture Using Active Contour, 9th International Conference on, 2008.

R. H. Lu, L. Wang, and C. Shen, Multi-view Human Motion Capture with an Improved Deformation Skin Model, 2008 Digital Image Computing: Techniques and Applications
DOI : 10.1109/DICTA.2008.14

I. Kakadiaris and D. Metaxas, Model-based estimation of 3D human motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.1453-1459, 2000.
DOI : 10.1109/34.895978

L. M. Corazza, E. Gambaretto, and T. Andriacchi, A marker-free method for tracking human lower limb segments based on model matching, Biomedical Engineering IEEE Transactions

R. Kehl and L. V. , Markerless tracking of complex human motions from multiple views, Computer Vision and Image Understanding, vol.104, issue.2-3, pp.190-209, 2006.
DOI : 10.1016/j.cviu.2006.07.010

A. Manzanera, A new motion detection algorithm based on ??????? background estimation, Pattern Recognition Letters, vol.28, issue.3, pp.320-328, 2007.
DOI : 10.1016/j.patrec.2006.04.007

URL : https://hal.archives-ouvertes.fr/hal-01222650

O. Cuisenaire, Distance transformations: Fast algorithms and applications to medical image processing, 1999.

R. Dorociak and T. Cuddeford, Determining 3-d system accuracy for the vicon