C. C. Chang and C. J. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011.
DOI : 10.1145/1961189.1961199

B. Choi, C. Mericli, J. Biswas, and M. Veloso, Fast human detection for indoor mobile robots using depth images, 2013 IEEE International Conference on Robotics and Automation, pp.1108-1113, 2013.
DOI : 10.1109/ICRA.2013.6630711

B. Choi, C. Pantofaru, and S. Savarese, Detecting and tracking people using an RGB-D camera via multiple detector fusion, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.6-13, 2011.
DOI : 10.1109/ICCVW.2011.6130370

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

J. C. Devaux, H. Hadj-abdelkader, and E. Colle, A Multisensor Calibration Toolbox for Kinect : Application to Kinect and Laser Range Finder Fusion, International Conference on Advanced Robotics, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00913178

K. Essmaeel, L. Gallo, E. Damiani, G. De-pietro, and A. Dipanda, Multiple Structured Light-Based Depth Sensors for Human Motion Analysis: A Review, Lecture Notes in Computer Science, vol.7657, pp.381-395, 2012.
DOI : 10.1007/978-3-642-35395-6_33

M. A. Fischler and R. C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981.
DOI : 10.1145/358669.358692

L. Gond, P. Sayd, T. Chateau, and M. Dhome, A 3D Shape Descriptor for Human Pose Recovery, Lecture Notes in Computer Science, vol.5098, pp.370-379, 2008.
DOI : 10.1007/978-3-540-70517-8_36
URL : https://hal.archives-ouvertes.fr/hal-01295885

D. Herrera, J. Kannala, and J. Heikkilä, Accurate and Practical Calibration of a Depth and Color Camera Pair, Lecture Notes in Computer Science, vol.6855, pp.437-445, 2011.
DOI : 10.1017/CBO9780511811685

S. Ikemura and H. Fujiyoshi, Real-Time Human Detection Using Relational Depth Similarity Features, Asian Conference on Computer Vision, pp.25-38, 2011.
DOI : 10.1023/A:1007614523901

A. Kläser, M. Marszalek, and C. Schmid, A Spatio- Temporal Descriptor Based on 3D-Gradients Fast and Accurate Calibration of a Kinect Sensor, British Machine Vision Conference IEEE International Conference on 3D Vision, pp.1-10, 2008.

L. Spinello and K. O. Arras, People detection in RGB-D data, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3838-3843, 2011.
DOI : 10.1109/IROS.2011.6095074

Q. Tian, B. Zhou, W. Zhao, Y. Wei, and W. Fei, Human Detection using HOG Features of Head and Shoulder Based on Depth Map, Journal of Software, vol.8, issue.9, pp.2223-2230, 2013.
DOI : 10.4304/jsw.8.9.2223-2230

L. Xia, C. Chen, and J. K. Aggarwal, Human Detection using Depth Information by Kinect, IEEE Computer Vision and Pattern Recognition Workshops, pp.15-22, 2011.

C. Zong, X. Clady, and M. Chetouani, An embedded human motion capture system for an assistive walking robot, 2011 IEEE International Conference on Rehabilitation Robotics, pp.1-6, 2011.
DOI : 10.1109/ICORR.2011.5975439