S. Schwab, T. Chateau, C. Blanc, L. Trassoudainearly, F. S. Schwab et al., « Clustering de visages : vers la construction automatique d'un album photo à partir d'une séquence vidéo ». ORA- SIS ? Congrès des jeunes chercheurs en vision par ordinateur. Praz-sur « Suivi de visages par regroupement de détections : traitement séquentiel par blocs ». Actes de la conférence Reconnaissance des Formes et l'Intelligence Artificielle (RFIA) « A multi-cue spatiotemporal framework for automatic frontal face clustering in video sequences, Face Recognition for Video Security Applications ». Workshop Interdisciplinaire sur la Sécurité Globale, 2011.

P. Ahrendt, « The multivariate gaussian probability distribution, p.117, 2005.

R. Ahuja, T. Magnanti, and J. Orlin, Network flows : theory, algorithms, and applications, p.53, 1993.

E. Amigó, J. Gonzalo, J. Artiles, and F. Verdejo, A comparison of extrinsic clustering evaluation metrics based on formal constraints, Information Retrieval, vol.30, issue.4, p.26, 2009.
DOI : 10.1007/s10791-008-9066-8

A. Andriyenko and K. Schindler, Globally Optimal Multi-target Tracking on a Hexagonal Lattice, Proc. European Conference on Computer Vision. T. 6311, p.15, 2010.
DOI : 10.1007/978-3-642-15549-9_34

O. Arandjelovic and A. Zisserman, Automatic Face Recognition for Film Character Retrieval in Feature-Length Films, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.81

J. Barr, K. Bowyer, P. Flynn, and S. Biswas, FACE RECOGNITION FROM VIDEO: A REVIEW, International Journal of Pattern Recognition and Artificial Intelligence, vol.26, issue.05, p.10, 2012.
DOI : 10.1142/S0218001412660024

J. Barron, D. Fleet, and S. Beauchemin, « Performance of optical flow techniques », International Journal of Computer Vision, vol.12, issue.1, p.71, 1994.

M. Bäuml, M. Tapaswi, and R. Stiefelhagen, Semi-supervised Learning with Constraints for Person Identification in Multimedia Data, 2013 IEEE Conference on Computer Vision and Pattern Recognition, p.10, 2013.
DOI : 10.1109/CVPR.2013.462

B. Benfold and I. Reid, « Stable Multi-Target Tracking in Real-Time Surveillance Video (in press), Proc. Computer Vision and Pattern Recognition, pp.17-45, 2011.

J. Berclaz, F. Fleuret, and P. Fua, Multiple object tracking using flow linear programming, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399488
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.4254

K. Bernardin and R. Stiefelhagen, Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics, EURASIP Journal on Image and Video Processing, vol.4625, p.24, 2008.
DOI : 10.1137/0105003

T. Brox, C. Bregler, and J. Malik, Large displacement optical flow, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.71, 2009.
DOI : 10.1109/CVPR.2009.5206697

G. Celeux and G. Soromenho, An entropy criterion for assessing the number of clusters in a mixture model, Journal of Classification, vol.5, issue.2, p.38, 1996.
DOI : 10.1007/BF01246098
URL : https://hal.archives-ouvertes.fr/inria-00074799

A. Cherian, V. Morellas, N. Papanikolopoulos, and S. Bedros, Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications, CVPR 2011, p.65, 2011.
DOI : 10.1109/CVPR.2011.5995723

J. Choi, W. De-neve, and Y. Ro, « Towards an automatic face indexing system for actor-based video services in an IPTV environment, Consumer Electronics, vol.56, issue.9, 2010.

F. Crete, T. Dolmiere, P. Ladret, and M. Nicolas, « The blur effect : perception and estimation with a new no-reference perceptual blur metric ». Human Vision and Electronic Imaging XII, pp.6492-96, 2007.

D. Dueck and B. Frey, Non-metric affinity propagation for unsupervised image categorization, 2007 IEEE 11th International Conference on Computer Vision, p.88, 2007.
DOI : 10.1109/ICCV.2007.4408853

J. Edmonds and R. Karp, « Theoretical improvements in algorithmic efficiency for network flow problems », Journal of the ACM (JACM), vol.19, issue.2, p.53, 1972.

M. Everingham, J. Sivic, and A. Zisserman, Taking the bite out of automated naming of characters in TV video, Image and Vision Computing, vol.27, issue.5, p.10, 2009.
DOI : 10.1016/j.imavis.2008.04.018

C. Fiche, « Repousser les limites de l'identification faciale en contexte de vidéosurveillance, Thèse de doct, p.11, 2012.

A. Fitzgibbon and A. Zisserman, On Affine Invariant Clustering and Automatic Cast Listing in Movies, Computer Vision?ECCV, 2002.
DOI : 10.1007/3-540-47977-5_20

A. Fitzgibbon and A. Zisserman, Joint manifold distance: a new approach to appearance based clustering, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., p.9, 2003.
DOI : 10.1109/CVPR.2003.1211334

S. Foucher and L. Gagnon, Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), p.9, 2007.
DOI : 10.1109/CRV.2007.13

K. Fukunaga, Introduction to statistical pattern recognition, p.117, 1990.

W. Ge and R. Collins, Multi-target Data Association by Tracklets with Unsupervised Parameter Estimation, Procedings of the British Machine Vision Conference 2008, pp.16-47, 2008.
DOI : 10.5244/C.22.93

A. Goder and V. Filkov, Consensus Clustering Algorithms: Comparison and Refinement, p.22, 2008.
DOI : 10.1137/1.9781611972887.11

M. Grgic, K. Delac, and S. Grgic, « SCface?surveillance cameras face database ». Multimedia tools and applications 51, p.11, 2011.
DOI : 10.1007/s11042-009-0417-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.915

R. Gross and J. Shi, « The CMU Motion of Body (MoBo) Database, p.11, 2001.

P. Grunwald, « A tutorial introduction to the minimum description length principle ». Arxiv preprint math, p.111, 2004.

M. Hansen and B. Yu, Model Selection and the Principle of Minimum Description Length, Journal of the American Statistical Association, vol.96, issue.454, p.111, 2001.
DOI : 10.1198/016214501753168398

J. Henriques, R. Caseiro, and J. Batista, « Globally optimal solution to multiobject tracking with merged measurements, International Conference on Computer Vision . IEEE, pp.15-56, 2011.

C. Huang, B. Wu, and R. Nevatia, Robust Object Tracking by Hierarchical Association of Detection Responses, pp.45-47, 2008.
DOI : 10.1007/978-3-540-88688-4_58

A. K. Jain, « Data clustering : 50 years beyond K-means ». Pattern Recognition Letters 31, p.19, 2010.

M. Kim, S. Kumar, V. Pavlovic, and H. Rowley, « Face tracking and recognition with visual constraints in real-world videos, Proc. Computer Vision and Pattern Recognition, p.11, 2008.

K. Lee, J. Ho, M. Yang, and D. Kriegman, Visual tracking and recognition using probabilistic appearance manifolds, Computer Vision and Image Understanding, vol.99, issue.3, pp.10-11, 2005.
DOI : 10.1016/j.cviu.2005.02.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.5240

K. Lee, J. Ho, M. Yang, and D. Kriegman, « Video-based face recognition using probabilistic appearance manifolds, Proc. Computer Vision and Pattern Recognition . T. 1. IEEE, p.11, 2003.

B. Leibe, K. Schindler, and L. Van-gool, Coupled Detection and Trajectory Estimation for Multi-Object Tracking, 2007 IEEE 11th International Conference on Computer Vision, p.16, 2007.
DOI : 10.1109/ICCV.2007.4408936

Y. Li, C. Huang, and R. Nevatia, « Learning to associate : HybridBoosted multitarget tracker for crowded scene, Proc. Computer Vision and Pattern Recognition, p.16, 2009.

B. Lucas and T. Kanade, « An iterative image registration technique with an application to stereo vision, p.71, 1981.

E. Maggio, E. Piccardo, C. Regazzoni, and C. A. , « Particle PHD filter for multitarget visual tracking, IEEE, p.31, 2007.

J. Marzat, Y. Dumortier, and A. Ducrot, « Real-time dense and accurate parallel optical flow using cuda, Proc. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp.71-72, 2009.

M. C. Nechyba, L. Brandy, and H. Schneiderman, « PittPatt Face Detection and Tracking for the CLEAR 2007 Evaluation ». Multimodal Technologies for Perception of Humans : International Evaluation Workshops CLEAR, 2007.

C. Needham and R. Boyle, Performance Evaluation Metrics and Statistics for Positional Tracker Evaluation, p.23, 2003.
DOI : 10.1007/3-540-36592-3_27

A. Ng, M. Jordan, and Y. Weiss, « On spectral clustering : Analysis and an algorithm » Advances in neural information processing systems, pp.78-79, 2002.

T. Oncel, P. Fatih, and M. Peter, « Region Covariance : A Fast Descriptor for Detection And Classification, p.64, 2006.

D. Pelleg and A. Moore, « X-means : Extending k-means with efficient estimation of the number of clusters, p.38, 2000.

X. Pennec, P. Fillard, and N. Ayache, A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.6, issue.2, p.65, 2006.
DOI : 10.1007/s11263-005-3222-z
URL : https://hal.archives-ouvertes.fr/inria-00070743

A. A. Perera, C. Srinivas, A. Hoogs, G. Brooksby, and W. Hu, Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), p.56, 2006.
DOI : 10.1109/CVPR.2006.195

P. Perez, C. Hue, J. Vermaak, and M. Gangnet, Color-Based Probabilistic Tracking, Computer Vision?ECCV, p.63, 2002.
DOI : 10.1007/3-540-47969-4_44
URL : https://hal.archives-ouvertes.fr/inria-00285122

P. Perona and L. Zelnik-manor, « Self-tuning spectral clustering » Advances in neural information processing systems 17, p.22, 2004.

P. J. Phillips, « Overview of the multiple biometrics grand challenge, p.11, 2009.

F. Porikli, O. Tuzel, and P. Meer, Covariance Tracking using Model Update Based on Lie Algebra, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), p.65, 2005.
DOI : 10.1109/CVPR.2006.94

J. Prokaj, M. Duchaineau, and G. Medioni, Inferring tracklets for multi-object tracking, CVPR 2011 WORKSHOPS, p.15, 2011.
DOI : 10.1109/CVPRW.2011.5981753

N. Rahman, K. Wei, and J. See, « RGB-H-CbCr Skin Colour Model for Human Face Detection, Proceedings of The MMU International Symposium on Information and Communications Technologies. M2USIC, pp.45-96, 2006.

D. Ramanan, S. Baker, and S. Kakade, Leveraging archival video for building face datasets, 2007 IEEE 11th International Conference on Computer Vision, p.9, 2007.
DOI : 10.1109/ICCV.2007.4409012

S. Schwab, T. Chateau, C. Blanc, and L. Trassoudaine, « Clustering de visages : vers la construction automatique d'un album photo à partir d'une séquence vidéo ». ORA- SIS ? Congrès des jeunes chercheurs en vision par ordinateur, p.119, 2011.

F. Septier, A. Carmi, and S. J. , Multiple Object Tracking Using Evolutionary MCMC-Based Particle Algorithms, IFAC Proceedings Volumes, vol.42, issue.10, p.39, 2009.
DOI : 10.3182/20090706-3-FR-2004.00132
URL : https://hal.archives-ouvertes.fr/hal-00566628

J. Sivic, M. Everingham, and A. Zisserman, Person Spotting: Video Shot Retrieval for Face Sets, Proc. International Conference on Image and Video Retrieval, 2005.
DOI : 10.1007/11526346_26

K. Smith, D. Gatica-perez, J. Odobez, and S. Ba, Evaluating Multi-Object Tracking, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Workshops, p.25, 2005.
DOI : 10.1109/CVPR.2005.453

R. Stiefelhagen, K. Bernardin, R. Bowers, J. Garofolo, D. Mostefa et al., « The CLEAR 2006 evaluation ». Multimodal Technologies for Perception of Humans, p.24, 2006.

A. Strehl and J. Ghosh, « Cluster ensembles?a knowledge reuse framework for combining multiple partitions, The Journal of Machine Learning Research, vol.3, issue.80, p.22, 2003.

D. Sun, E. Sudderth, and M. Black, « Layered image motion with explicit occlusions , temporal consistency, and depth ordering, Advances in Neural Information Processing Systems, p.71, 2010.

Z. Tao, N. Ram, and W. Bo, « Segmentation and Tracking of Multiple Humans in Crowded Environments, IEEE Trans. Pattern Anal. Mach. Intell, vol.30, issue.7, p.16, 2008.

M. Tapaswi, M. Bauml, and R. Stiefelhagen, « " Knock ! Knock ! Who is it ? " probabilistic person identification in TV-series, Proc. Computer Vision and Pattern Recognition, p.9, 2012.

A. Tyagi and J. Davis, A recursive filter for linear systems on Riemannian manifolds, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.65, 2008.
DOI : 10.1109/CVPR.2008.4587519

R. C. Verma, C. Schmid, and K. Mikolajczyk, « Face detection and tracking in a video by propagating detection probabilities ». Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.2510, p.8, 2003.

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, p.13, 2001.
DOI : 10.1109/CVPR.2001.990517

U. and V. Luxburg, A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, p.78, 2007.
DOI : 10.1007/s11222-007-9033-z

N. Vretos, V. Solachidis, and I. Pitas, A mutual information based face clustering algorithm for movie content analysis, Image and Vision Computing, vol.29, issue.10, p.9, 2011.
DOI : 10.1016/j.imavis.2011.07.006

N. Vu, « Contributions à la reconnaissance de visages à partir d'une seule image et dans un contexte non-contrôlé, Thèse de doct. Institut National Polytechnique de Grenoble-INPG, p.66, 2010.

N. Vu, H. M. Dee, and A. Caplier, Face recognition using the POEM descriptor, Pattern Recognition, vol.45, issue.7, p.66, 2012.
DOI : 10.1016/j.patcog.2011.12.021
URL : https://hal.archives-ouvertes.fr/hal-00741455

H. Wang, H. Stone, and S. Chang, « FaceTrack : Tracking and summarizing faces from compressed video, SPIE Multimedia Storage and Archiving System IV, p.107, 1999.

B. Wu and R. Nevatia, Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors, International Journal of Computer Vision, vol.I, issue.4, p.68, 2007.
DOI : 10.1007/s11263-006-0027-7

J. Yao and J. Odobez, « Fast Human Detection from Videos Using Covariance Features, p.65, 2008.

Q. Yu and G. Medioni, « Multiple-Target Tracking by Spatiotemporal Monte Carlo Markov Chain Data Association, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.3112, issue.17, pp.39-45, 2009.

L. Zhang, Y. Li, and R. Nevatia, Global data association for multi-object tracking using network flows, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.38-40, 2008.
DOI : 10.1109/CVPR.2008.4587584