B. Espiau, F. Chaumette, and P. Rives, A new approach to visual servoing in robotics, IEEE Transactions on Robotics and Automation, vol.8, issue.3, 1993.

E. Malis, F. Chaumette, and S. Boudet, d visual servoing, IEEE Transactions on Robotics and Automation, vol.15, issue.12 2, 1999.
URL : https://hal.archives-ouvertes.fr/inria-00073302

A. A. Moughlbay, E. Cervera, and P. Martinet, Error regulation strategies for Model Based visual servoing tasks: Application to autonomous object grasping with Nao robot, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012.
DOI : 10.1109/ICARCV.2012.6485335

C. Gaskett, L. Fletcher, and A. Zelinsky, Reinforcement learning for visual servoing of a mobile robot, Australian Conference on Robotics and Automation, 2000.

L. Mejias, S. Saripalli, P. Campoy, and G. S. Sukhatme, Visual servoing of an autonomous helicopter in urban areas using feature tracking, Journal of Field Robotics, vol.23, pp.3-4, 2006.

A. Crétual, F. Chaumette, and P. Bouthemy, Complex object tracking by visual servoing based on 2D image motion, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 1998.
DOI : 10.1109/ICPR.1998.711927

A. Cretual and F. Chaumette, Application of Motion-Based Visual Servoing to Target Tracking, The International Journal of Robotics Research, vol.20, issue.11, 2001.
DOI : 10.1177/02783640122068164

R. Stolkin, I. Florescu, M. Baron, C. Harrier, B. Kocherov-marchand et al., Efficient visual servoing with the abcshift tracking algorithm Feature tracking for visual servoing purposes, IEEE International Conference on Robotics and Automation, 2005.

D. Omr?en and A. Ude, Redundant control of a humanoid robot head with foveated vision for object tracking, IEEE International Conference on Robotics and Automation, 2010.

J. Rajruangrabin and D. O. Popa, Robot Head Motion Control with an Emphasis on Realism of Neck???Eye Coordination during Object Tracking, Journal of Intelligent & Robotic Systems, vol.42, issue.5, 2011.
DOI : 10.1109/9.580874

D. J. Agravante, J. Pages, and F. Chaumette, Visual servoing for the REEM humanoid robot's upper body, 2013 IEEE International Conference on Robotics and Automation, 2013.
DOI : 10.1109/ICRA.2013.6631328
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.3189

M. Antonelli, A. P. , and M. Rucci, Bayesian multimodal integration in a robot replicating human head and eye movements, 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014.
DOI : 10.1109/ICRA.2014.6907271

L. Vannucci, N. Cauli, E. Falotico, A. Bernardino, and C. Laschi, Adaptive visual pursuit involving eye-head coordination and prediction of the target motion, 2014 IEEE-RAS International Conference on Humanoid Robots, 2014.
DOI : 10.1109/HUMANOIDS.2014.7041415
URL : https://hal.archives-ouvertes.fr/hal-01118539

J. Satake and J. Miura, Robust stereo-based person detection and tracking for a person following robot, IEEE ICRA Workshop on People Detection and Tracking, 2009.

D. Schulz, W. Burgard, D. Fox, and A. B. Cremers, Tracking multiple moving targets with a mobile robot using particle filters and statistical data association, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2001.
DOI : 10.1109/ROBOT.2001.932850
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.2069

L. Fagot-bouquet, R. Audigier, Y. Dhome, and F. Lerasle, Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking, European Conference on Computer Vision, 2016.
DOI : 10.1007/978-3-642-25566-3_40

W. Choi, Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor, 2015 IEEE International Conference on Computer Vision (ICCV), 2015.
DOI : 10.1109/ICCV.2015.347
URL : http://arxiv.org/pdf/1504.02340

W. Choi, C. Pantofaru, and S. Savarese, A general framework for tracking multiple people from a moving camera, IEEE transactions on pattern analysis and machine intelligence, vol.35, issue.7, 2013.

S. Ba, X. Alameda-pineda, A. Xompero, and R. Horaud, An on-line variational Bayesian model for multi-person tracking from cluttered scenes, Computer Vision and Image Understanding, vol.153, 2016.
DOI : 10.1016/j.cviu.2016.07.006
URL : https://hal.archives-ouvertes.fr/hal-01349763

Y. Ban, S. Ba, X. Alameda-pineda, and R. Horaud, Tracking Multiple Persons Based on a Variational Bayesian Model, European Conference on Computer Vision Workshops, 2016.
DOI : 10.1007/978-3-540-69568-4_1
URL : https://hal.archives-ouvertes.fr/hal-01359559

V. Smidl and A. Quinn, The variational Bayes method in signal processing, ser. Signals and communication technology, 2006.

Z. Kalal, K. Mikolajczyk, and J. Matas, Tracking-Learning-Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.7, 2012.
DOI : 10.1109/TPAMI.2011.239

S. Hutchinson, G. D. Hager, and P. I. Corke, A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, vol.12, issue.5, 1996.
DOI : 10.1109/70.538972
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.2876

R. Stiefelhagen, K. Bernardin, R. Bowers, J. Garofolo, D. Mostefa et al., The CLEAR 2006 Evaluation, International Evaluation Workshop on Classification of Events, Activities and Relationships, 2006.
DOI : 10.1007/978-3-540-69568-4_1