A. Adam, E. Rivlin, and I. Shimshoni, Robust fragmentbased tracking using integral histogram, Computer Vision and Pattern Recognition -CVPR, 2006.
DOI : 10.1109/cvpr.2006.256

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.4210

A. F. Smeaton, P. Over, and W. Kraaij, Evaluation campaigns and TRECVid, Proceedings of the 8th ACM international workshop on Multimedia information retrieval , MIR '06, 2006.
DOI : 10.1145/1178677.1178722

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.3415

H. W. Harold, H. S. Stone, and C. , FaceTrack: Tracking and summarizing faces from compressed video, SPIE Photonics East, Conference on Multimedia Storage and Archiving Systems, 1999.

I. Laptev, Improvements of Object Detection Using Boosted Histograms, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.97

J. Varona, J. M. Buades, and P. F. , Hands and face tracking for VR applications, Computers & Graphics, vol.29, issue.2, pp.179-187, 2005.
DOI : 10.1016/j.cag.2004.12.002

K. Schwerdt and J. L. Crowley, Robust face tracking using color, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2000.
DOI : 10.1109/AFGR.2000.840617

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.211

L. Jordao, M. Perrone, J. P. Costeira, S. , and J. , Active face and feature tracking, Proceedings 10th International Conference on Image Analysis and Processing, 1999.
DOI : 10.1109/ICIAP.1999.797657

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.893

C. Santana, M. Deniz-suarez, O. Anton-canalis, L. , L. et al., Face and Facial Feature Detection Evaluation -Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection, International Conference on Computer Vision Theory and Applications -VISAPP, Portugal, 2008.

M. Yang, D. J. Kriegman, and A. Narendra, Detecting faces in images: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.1, pp.34-58, 2002.
DOI : 10.1109/34.982883

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), 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

P. M. Fonseca and J. Nesvadba, Face Tracking in the Compressed Domain, EURASIP Journal on Advances in Signal Processing, vol.12, issue.3, 2006.
DOI : 10.1155/ASP/2006/59451

G. Project, Digital services enhaning independence of the elderly at home

Q. Zhu, S. Avidan, M. Yeh, and K. Cheng, Fast human detection using a cascade of histograms of oriented gradients, Computer Vision and Pattern Recognition - CVPR, 2006.

R. Lienhart and J. Maydt, An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, 2002.
DOI : 10.1109/ICIP.2002.1038171

R. Suguna, N. Sudha, and C. C. Sekhar, A Fast and Efficient Face Detection Technique Using Support Vector Machine, ICONIP 2004, 2004.
DOI : 10.1007/978-3-540-30499-9_51

S. J. Mckenna, S. Gong, and C. J. , Face Tracking and Pose Representation, Procedings of the British Machine Vision Conference 1996, 1996.
DOI : 10.5244/C.10.31

M. J. Jones and P. Viola, Robust real-time face detection, International Journal of Computer Vision, vol.57, issue.2, pp.151-173, 2004.

W. E. Vieux, K. Schwerdt, and C. J. , Face-Tracking and Coding for Video Compression, In Lecture Notes in Computer Science, vol.1542, pp.151-161, 1999.
DOI : 10.1007/3-540-49256-9_10

Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, 1997.
DOI : 10.1006/jcss.1997.1504