J. Ahlberg, Candide-3 ? an updated parameterized face, 2001.

3. Ahlberg, Model-based Coding -Extraction, Coding, and Evaluation of Face Model Parameters, 2002.

A. Ansari and M. Abdel-mottaleb, 3D face modeling using two views and a generic face model with application to 3D face recognition, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003., pp.37-44, 2003.
DOI : 10.1109/AVSS.2003.1217899

S. Avidan, Support vector tracking, IEEE Transactions on Pattern Analysis & Machine Intelligence, pp.1064-1072, 2004.

R. Francis, M. I. Bach, and . Jordan, A probabilistic interpretation of canonical correlation analysis, 2005.

C. Beleznai, T. Schloegl, B. Wachmann, H. Bischof, and W. G. Kropatsch, Tracking multiple objects in complex scenes, Proceedings of the Workshop of the Austrian Association for Pattern Recognition, pp.175-182, 2002.

M. Borga, Canonical correlation a tutorial, 2001.

M. Brand, Incremental Singular Value Decomposition of Uncertain Data with Missing Values, Proceedings of the European Conference on Computer Vision, pp.707-720
DOI : 10.1007/3-540-47969-4_47

J. Miguel-buenaposada, E. Muñozmu?muñoz, and L. Baumela, Efficiently estimating facial expression and illumination in appearance-based tracking, Procedings of the British Machine Vision Conference 2006, pp.57-67, 2006.
DOI : 10.5244/C.20.7

A. Cavallaro and T. Ebrahimi, <title>Video object extraction based on adaptive background and statistical change detection</title>, Visual Communications and Image Processing 2001, pp.465-475, 2001.
DOI : 10.1117/12.411823

A. Cavallaro, O. Steiger, and T. Ebrahimi, Multiple video object tracking in complex scenes, Proceedings of the tenth ACM international conference on Multimedia , MULTIMEDIA '02, pp.523-532, 2002.
DOI : 10.1145/641007.641115

A. Cavallaro, O. Steiger, and T. Ebrahimi, Tracking video objects in cluttered background, IEEE Transactions on Circuits and Systems for Video Technology, pp.575-584, 2005.
DOI : 10.1109/TCSVT.2005.844447

M. Chaumont and B. Beaumesnil, Robust and real-time 3D-face model extraction, IEEE International Conference on Image Processing 2005, pp.461-464, 2005.
DOI : 10.1109/ICIP.2005.1530428

URL : https://hal.archives-ouvertes.fr/lirmm-00106488

H. Cheng, N. Zheng, and T. Liu, An approach of road recognition based mean shift and feature clustering, 6th International Conference on Signal Processing, 2002., pp.1059-1062, 2002.
DOI : 10.1109/ICOSP.2002.1179971

Y. Cheng, Mean shift, mode seeking, and clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.8, pp.790-799, 1995.
DOI : 10.1109/34.400568

H. Chui and A. Rangarajan, A new point matching algorithm for non-rigid registration, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.44-51, 2000.
DOI : 10.1016/S1077-3142(03)00009-2

D. Comaniciu and P. Meer, Robust analysis of feature spaces: color image segmentation, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.750-755, 1997.
DOI : 10.1109/CVPR.1997.609410

T. F. Cootes, An introduction to active shape models, Imaging Science and Biomedical Engineering Research Group, 2001.

T. F. Cootes, G. J. Edwards, and C. J. Taylor, Active appearance models, Proceeding of the European Conference on Computer Vision, pp.484-498, 1998.

T. F. Cootes, G. J. Edwards, and C. J. Taylor, Active appearance models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.6, pp.681-685, 2001.
DOI : 10.1109/34.927467

F. Timothy, C. J. Cootes, and . Taylor, Statistical models of appearance for medical image analysis and computer vision, Imaging Science and Biomedical Engineering, 2001.

D. Cristinacce and T. F. Cootes, Feature Detection and Tracking with Constrained Local Models, Procedings of the British Machine Vision Conference 2006, pp.4-7, 2006.
DOI : 10.5244/C.20.95

F. Davoine and F. Dornaika, Real-Time Vision for Human Computer Interaction, chapter Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters, page 302, 2005.

C. Dehon, P. Filzmoser, C. Croux, H. A. Kiers, J. P. Rasson et al., Robust Methods for Canonical Correlation Analysis, Data Analysis, Classification, and Related Methods. Proceedings of the Conference on the International Federation of Classification Societies, pp.321-326, 2000.
DOI : 10.1007/978-3-642-59789-3_51

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.7707

C. Ding and J. Ye, 2-Dimensional Singular Value Decomposition for 2D Maps and Images, Proceedings of the SIAM International Conference on Data Mining, pp.32-43, 2005.
DOI : 10.1137/1.9781611972757.4

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.4321

M. Petar, J. H. Djuri´cdjuri´c, J. Kotecha, Y. Zhang, T. Huang et al., Particle filtering, Signal Processing Magazine IEEE, vol.20, issue.5, pp.19-38, 2003.

R. Donner, M. Reiter, L. Georg, P. Pelsochek, and H. Bischof, Fast Active Appearance Model Search Using Canonical Correlation Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1690-1694, 2006.
DOI : 10.1109/TPAMI.2006.206

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.1647

F. Dornaika and F. Davoine, Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters, 2004 Conference on Computer Vision and Pattern Recognition Workshop, pp.153-163, 2004.
DOI : 10.1109/CVPR.2004.359

URL : https://hal.archives-ouvertes.fr/hal-00143756

F. Dornaika and F. Davoine, On Appearance Based Face and Facial Action Tracking, IEEE Transactions on Circuits and Systems for Video Technology, vol.16, issue.9, pp.1107-1124, 2006.
DOI : 10.1109/TCSVT.2006.881200

URL : https://hal.archives-ouvertes.fr/hal-00143330

J. Gareth, C. J. Edwards, T. F. Taylor, and . Cootes, Interpreting face images using active appearance models, Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pp.300-305, 1998.

P. Ekman and W. V. Friesen, The Manual of Facial Action Coding System, 1977.

N. Eveno, A. Caplier, and P. Coulon, New color transformation for lips segmentation, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564), pp.3-8, 2001.
DOI : 10.1109/MMSP.2001.962702

K. Fukunaga and L. Hostetler, The estimation of the gradient of a density function, with applications in pattern recognition, IEEE Transactions on Information Theory, vol.21, issue.1, pp.32-40, 1975.
DOI : 10.1109/TIT.1975.1055330

F. Timothy, R. M. Gee, and . Mersereau, Model-based face tracking for dense motion field estimation, Applied Imagery Pattern Recognition Workshop, pp.149-153, 2001.

R. David, J. Hardoon, and . Shawe-taylor, KCCA for different level precision in content-based image retrieval, Proceedings of International Workshop on Content-Based Multimedia Indexing, pp.22-24

R. David, J. Hardoon, O. Shawe-taylor, and . Friman, KCCA for fMRI analysis, Proceedings of Medical Image Understanding and Analysis, pp.23-24, 2004.

R. David, S. Hardoon, J. Szedmak, and . Shawe-taylor, Canonical correlation analysis; an overview with application to learning methods, 2003.

C. J. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.147-151, 1988.
DOI : 10.5244/C.2.23

S. Paul and . Heckbert, Survey of texture mapping, Computer Graphics and Applications IEEE, issue.611, pp.56-67, 1986.

B. Heisele, Motion-based object detection and tracking in color image sequences, Proceedings of the Asian Conference on Computer Vision, pp.1028-1033, 2000.

S. Huang, M. Lee, and C. K. Hsiao, Kernel canonical correlation analysis and its applications to nonlinear measures of association and test of independence, Institute of Statistical Science, 2006.

M. Irani, B. Rousso, and S. Peleg, Computing occluding and transparent motions, International Journal of Computer Vision, vol.1, issue.1, pp.5-16, 1994.
DOI : 10.1007/BF01420982

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.9031

M. Isard and A. Blake, Contour tracking by stochastic propagation of conditional density, Proceedings of the European Conference on Computer Vision, pp.343-356, 1996.
DOI : 10.1007/BFb0015549

M. Isard and J. Maccormick, BraMBLe: a Bayesian multiple-blob tracker, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.34-41, 2001.
DOI : 10.1109/ICCV.2001.937594

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.7932

J. Kang, I. Cohen, and G. Medioni, Persistent Objects Tracking Across Multiple Non Overlapping Cameras, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05), Volume 1, pp.112-119, 2005.
DOI : 10.1109/ACVMOT.2005.92

M. La-cascia, S. Sclaroff, and V. Athitsos, Fast, reliable head tracking under varying illumination: an approach based on registration of texture-mapped 3D models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.4, pp.322-336, 2000.
DOI : 10.1109/34.845375

B. Lieven-de-lathauwer, J. Demoor, and . Vandewalle, A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000.
DOI : 10.1137/S0895479896305696

I. Mun-wai-lee, S. K. Cohen, and . Jung, Particle filter with analytical inference for human body tracking, Workshop on Motion and Video Computing, 2002. Proceedings., pp.159-165, 2002.
DOI : 10.1109/MOTION.2002.1182229

V. Lepetit and P. Fua, Towards Recognizing Feature Points using Classification Trees, 1015.

V. Lepetit and P. Fua, Monocular Model-Based 3D Tracking of Rigid Objects: A Survey, Foundations and Trends?? in Computer Graphics and Vision, vol.1, issue.1, 2005.
DOI : 10.1561/0600000001

V. Lepetit, P. Lagger, and P. Fua, Randomized trees for realtime keypoint recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.775-781, 2005.

V. Lepetit, J. Pilet, and P. Fua, Point matching as a classification problem for fast and robust object pose estimation, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.244-250, 2004.
DOI : 10.1109/CVPR.2004.1315170

R. Lienhart and J. Maydt, An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, pp.900-903, 2002.
DOI : 10.1109/ICIP.2002.1038171

M. Lievin and F. Luthon, Nonlinear Color Space and Spatiotemporal MRF for Hierarchical Segmentation of Face Features in Video, IEEE Transactions on Image Processing, vol.13, issue.1, pp.63-71, 2004.
DOI : 10.1109/TIP.2003.818013

URL : https://hal.archives-ouvertes.fr/hal-00785936

J. Lim, D. A. Ross, R. Lin, and M. Yang, Incremental learning for visual tracking, Advances in Neural Information Processing Systems 17, pp.793-800, 2005.

G. David and . Lowe, Object recognition from local scale-invariant features, Proceedings of the IEEE International Conference on Computer Vision, pp.1150-1157, 1999.

S. J. Mckenna, S. Gong, and J. J. Collins, Face Tracking and Pose Representation, Procedings of the British Machine Vision Conference 1996, pp.755-764, 1996.
DOI : 10.5244/C.10.31

T. Melzer, M. Reiter, and H. Bischof, Appearance models based on kernel canonical correlation analysis, Pattern Recognition, vol.36, issue.9, pp.1961-1971, 2003.
DOI : 10.1016/S0031-3203(03)00058-X

A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, Background modeling and subtraction of dynamic scenes, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1305-1312, 2003.
DOI : 10.1109/ICCV.2003.1238641

K. Okuma, A. Taleghani, J. J. Nando-de-freitas, D. G. Little, and . Lowe, A Boosted Particle Filter: Multitarget Detection and Tracking, Proceedings of the European Conference on Computer Vision, pp.28-39, 2004.
DOI : 10.1007/978-3-540-24670-1_3

I. Frederick and . Parke, Computer generated animation of faces, Proceedings of the ACM annual conference, pp.451-457, 1972.

I. Frederick and . Parke, Parameterized models for facial animation, IEEE Computer Graphics and Applications, vol.2, issue.9, pp.61-68, 1982.

P. Pérez, C. Hue, J. Vermaak, and M. Gangnet, Color-Based Probabilistic Tracking, Proceedings of the European Conference on Computer Vision, pp.661-675
DOI : 10.1007/3-540-47969-4_44

P. Pérez, J. Vermaak, and A. Blake, Data Fusion for Visual Tracking With Particles, Proceedings of the IEEE, pp.495-513, 2004.
DOI : 10.1109/JPROC.2003.823147

J. Pilet, V. Lepetit, and P. Fua, Real-time nonrigid surface detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.822-828, 2005.
DOI : 10.1109/CVPR.2005.293

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.833

S. Romdhani, Face Image Analysis using a Multiple Feature Fitting Strategy, 2005.

S. Romdhani, V. Blanz, C. Basso, and T. Vetter, Morphable Models of Faces, chapter 10, pp.217-246, 2004.

S. Romdhani, V. Blanz, and T. Vetter, Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions, Proceedings of the European Conference on Computer Vision, pp.3-19, 2002.
DOI : 10.1007/3-540-47979-1_1

L. Paul and . Rosin, Thresholding for change detection, Proceedings of the IEEE International Conference on Computer Vision, pp.274-279, 1998.

D. Ross, J. Lim, R. Lin, and M. Yang, Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision, vol.61, issue.3, pp.1-3125, 2007.
DOI : 10.1007/s11263-007-0075-7

S. Sclaroff and J. Isidoro, Active blobs, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.1146-1153, 1998.
DOI : 10.1109/ICCV.1998.710860

A. Shahrokni, F. Fleuret, and P. Fua, Classifier-based Contour Tracking for Rigid and Deformable Objects, Procedings of the British Machine Vision Conference 2005, pp.5-8, 2005.
DOI : 10.5244/C.19.56

D. Skocaj and A. Leonardis, Appearance based localization using CCA, Proceedings of the Computer Vision Winter Workshop, pp.205-214, 2004.

X. Song and R. Nevatia, Combined face-body tracking in indoor environment, Proceedings of the International Conference on Pattern Recognition, pp.159-162, 2004.

X. Song and R. Nevatia, A model-based vehicle segmentation method for tracking, Proceedings of the IEEE International Conference on Computer Vision, pp.1124-1131, 2005.

C. Stauffer and W. E. Grimson, Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.245-252, 1999.
DOI : 10.1109/CVPR.1999.784637

B. Mikkel, B. K. Stegmann, R. Ersbøll, and . Larsen, FAME ? a flexible appearance modelling environment, IEEE Transactions on Medical Imaging, vol.22, issue.10, pp.1319-1331, 2003.

M. Strömbergstr¨strömberg, The candide software package, release 1, 1994.

H. Tao, H. S. Sawhney, and R. Kumar, A Sampling Algorithm for Tracking Multiple Objects, ICCV '99: Proceedings of the International Workshop on Vision Algorithms, pp.53-68, 2000.
DOI : 10.1007/3-540-44480-7_4

B. Tella and M. Aldon, Interest points detection in color images, Proceedings of IAPR Workshop on Machine Vision and its Applications, pp.550-553, 2002.

J. Cor, E. A. Veenman, M. J. Hendriks, and . Reinders, A fast and robust point tracking algorithm, Proceedings of the IEEE International Conference on Image Processing, pp.653-657, 1998.

J. Cor, M. J. Veenman, E. Reinders, and . Backer, Resolving motion correspondence for densely moving points Rapid object detection using a boosted cascade of simple features, IEEE Transactions on Pattern Analysis & Machine Intelligence Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.54-72, 2001.

D. Weenink, Canonical correlation analysis, Proceedings of the Institute of Phonetic Sciences of the University of Amsterdam, pp.81-99, 2003.

O. Williams, A. Blake, and R. Cipolla, A sparse probabilistic learning algorithm for real-time tracking, Proceedings Ninth IEEE International Conference on Computer Vision, pp.353-360, 2003.
DOI : 10.1109/ICCV.2003.1238366

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.1984

O. Williams, A. Blake, and R. Cipolla, Sparse Bayesian learning for efficient visual tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1292-1304, 2005.
DOI : 10.1109/TPAMI.2005.167

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.2793

E. Lambert, A. Wixson, and . Selinger, Classifying moving objects as rigid or non-rigid, DARPA Image Understanding Workshop, pp.341-347, 1998.

J. Xiao, S. Baker, I. Matthews, and T. Kanade, Real-time combined 2d+3d active appearance models, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.535-542, 2004.

M. Xu and T. Ellis, Illumination-Invariant Motion Detection Using Colour Mixture Models, Procedings of the British Machine Vision Conference 2001, pp.163-172, 2001.
DOI : 10.5244/C.15.18

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.4936

J. Yang, D. Zhang, A. F. Frangi, and J. Yang, Two-dimensional pca: a new approach to appearance-based face representation and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.1, pp.131-137, 2004.
DOI : 10.1109/TPAMI.2004.1261097

J. Yang, W. Lu, and A. Waibel, Skin-color modeling and adaptation, 1997.
DOI : 10.1007/3-540-63931-4_278

J. Yang, W. Lu, and A. Waibel, Skin-color modeling and adaptation, Proceedings of the Asian Conference on Computer Vision, pp.687-694, 1998.
DOI : 10.1007/3-540-63931-4_278

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2082

J. A. , Y. Zepeda, F. Davoine, and M. Charbit, Face tracking using canonical correlation analysis, proceedings of the International Conference on Computer Vision Theory and Applications, pp.396-402, 2007.

J. A. , Y. Zepeda, F. Davoine, and M. Charbit, A linear estimation method for 3d pose and facial animation tracking, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1-7, 2007.

J. A. , Y. Zepeda, F. Davoine, and M. Charbit, Linear tracking of pose and facial features, Proceedings of the IAPR Conference on Machine Vision Applications, pp.182-185, 2007.

J. A. , Y. Zepeda, F. Davoine, and M. Charbit, Local or global 3d face and facial feature tracker, Proceedings of the IEEE International Conference on Image Processing, pp.505-508, 2007.
DOI : 10.1109/icip.2007.4379002

A. Yilmaz, O. Javed, and M. Shah, Object tracking, ACM Computing Surveys, vol.38, issue.4, pp.1-45, 2006.
DOI : 10.1145/1177352.1177355

T. Zhao and R. Nevatia, Tracking multiple humans in complex situations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1208-1221, 2004.
DOI : 10.1109/TPAMI.2004.73

T. Zhao and R. Nevatia, Tracking multiple humans in crowded environment, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.406-413, 2004.
DOI : 10.1109/CVPR.2004.1315192

W. Zheng, X. Zhou, C. Zou, and L. Zhao, Facial Expression Recognition Using Kernel Canonical Correlation Analysis (KCCA), IEEE Transactions on Neural Networks, vol.17, issue.1, pp.233-238, 2006.
DOI : 10.1109/TNN.2005.860849

X. Zhou, W. Hu, and X. Li, An adaptive shape subspace model for level set-based object tracking, Subspace 2007. Workshop on Asian Conference on Computer Vision, pp.9-16, 2007.