A. Agarwal, B. G. Borgefors, G. Cheung, S. Baker, and T. Kanade, Recovering 3D human pose from monocular images, Triggs, Recovering 3D human pose from monocular image, pp.44-58, 1986.
DOI : 10.1109/TPAMI.2006.21
URL : https://hal.archives-ouvertes.fr/inria-00548619

M. Fontmarty, F. Lerasle, and P. Danes, Data fusion within a modified annealed particle filter dedicated to human motion capture, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3391-3396, 2007.
DOI : 10.1109/IROS.2007.4399521

S. Lu, G. Huang, D. Samaras, D. Metaxas, ]. G. Mori et al., Acquisition 3D du geste par vision monoscopique en temps réel et téléprésence, Actes de l'atelier Acquisition du geste humain par vision artificielle et applications Recovering 3D human body configurations using shape contexts A simplex method for function minimization Monocular Tracking 3D People by Gaussian Process Spatio-Temporal Variable Model Poppe, Vision-based human motion analysis: An Overview Real-time 3D Model-Based Tracking: Combining Edge and Texture Information Region-based pose tracking, Conférence MajecSTIC'08 3D Model Based Gesture Acquisition Using a Single Camera Proceedings of IEEE Workshop on Applications of Computer Vision International Conference on Image Processing, ICIP2007 IEEE Int. Conf on Robotics and Automation, ICRA'06 Proceedings of the 3 rd Iberian Conference on Pattern Recognition and Image Analysis17] C. Sminchisescu, B. Triggs, Estimating Articulated Human Motion with Covariance Scaled Sampling 3D people tracking with gaussian process dynamical models, Proceedings of the Conference on Computer Vision and Pattern Recognition CVPR'06 Lipchak, N. Haemel, OpenGL SuperBible: Comprehensive Tutorial and Reference 4 th edition, pp.158-162, 1965.