A. E. Abdel-hakim and A. A. Farag, CSIFT: A SIFT Descriptor with Color Invariant Characteristics, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.1978-1983, 2006.
DOI : 10.1109/CVPR.2006.95

A. Ahonen, M. Hadid, and . Pietikainen, Face Recognition with Local Binary Patterns, Computer Vision -ECCV 2004, pp.469-481, 2004.
DOI : 10.1007/978-3-540-24670-1_36

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6851

]. A. Ali and J. K. Aggarwal, Segmentation and recognition of continuous human activity, Proceedings IEEE Workshop on Detection and Recognition of Events in Video, pp.28-35, 2001.
DOI : 10.1109/EVENT.2001.938863

]. D. Angelova and L. Mihaylova, Extended Object Tracking Using Monte Carlo Methods, IEEE Transactions on Signal Processing, vol.56, issue.2, pp.825-832, 2008.
DOI : 10.1109/TSP.2007.907851

E. Slawomir-bak, F. Corvee, M. Bremond, and . Thonnat, Person Re-identification Using Spatial Covariance Regions of Human Body Parts, Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.435-440, 2010.

E. Slawomir-bak, F. Corvee, M. Bremond, and . Thonnat, Boosted human re-identification using Riemannian manifolds, Image and Vision Computing, 2011.

]. H. Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C. Wolf, Parametric correspondence and chamfer matching: two new techniques for image matching, Proceedings of the 5th international joint conference on Artificial intelligence, pp.659-663, 1977.

]. M. Bartlett, J. Movellan, and T. Sejnowski, Face recognition by independent component analysis, IEEE Transactions on Neural Networks, pp.1450-1464, 2002.
DOI : 10.1109/TNN.2002.804287

]. Bauml, K. Bernardin, and M. Fischer, Hazim Kemal Ekenel and Rainer Stiefelhagen. Multi-pose Face Recognition for Person Retrieval in Camera Networks, 2010.

L. Bazzani, M. Cristani, and A. Perina, Michela Farenzena and Vittorio Murino. Multiple-Shot Person Re-identification by HPE Signature, Proceedings of the 2010 20th International Conference on Pattern Recognition, pp.1413-1416, 2010.

]. S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

]. M. Bertozzi, A. Broggi, M. Del-rose, M. Felisa, A. Rakotomamonjy et al., A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier, 2007 IEEE Intelligent Transportation Systems Conference, 2007.
DOI : 10.1109/ITSC.2007.4357692

T. Stanley, S. Birchfield, and . Rangarajan, Spatiograms versus Histograms for Region-Based Tracking, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) -Volume CVPR '05, pp.1158-1163, 2005.

]. S. Fazli, H. M. Pour, and H. Bouzari, Particle Filter Based Object Tracking with Sift and Color Feature, 2009 Second International Conference on Machine Vision, pp.89-93, 2009.
DOI : 10.1109/ICMV.2009.47

F. Pedro, D. P. Felzenszwalb, and . Huttenlocher, Efficient Matching of Pictorial Structures, Proc. IEEE Computer Vision and Pattern Recognition Conf, pp.66-73, 2000.

F. Pedro, R. B. Felzenszwalb, D. Girshick, D. Mcallester, and . Ramanan, Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010.

A. T. Mário, A. K. Figueiredo, and . Jain, Unsupervised Learning of Finite Mixture Models, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MA- CHINE INTELLIGENCE, vol.24, pp.381-396, 2000.

D. Graham, S. D. Finlayson, G. Hordley, G. Y. Schaefer, and . Tian, Illuminant and device invariant colour using histogram equalisation, Pattern Recognition, vol.38, issue.2, pp.179-190, 2005.

]. D. Forsyth and M. M. Fleck, Body plans, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997.
DOI : 10.1109/CVPR.1997.609399

A. David, J. Forsyth, and . Ponce, Computer vision: A modern approach, 2002.

R. E. Freund and . Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Proceedings of the Second European Conference on Computational Learning Theory, EuroCOLT '95, pp.23-37, 1995.
DOI : 10.1006/jcss.1997.1504

]. Friedman, T. Hastie, and R. Tibshirani, Additive Logistic Regression: a Statistical View of Boosting, Annals of Statistics, vol.28, p.2000, 1998.

K. P. Berthold, B. G. Horn, and . Schunck, Determining Optical Flow, 1981.

]. Huang, B. Wu, and R. Nevatia, Robust Object Tracking by Hierarchical Association of Detection Responses, Proceedings of the 10th European Conference on Computer Vision: Part II, ECCV '08, pp.788-801, 2008.
DOI : 10.1007/978-3-540-88688-4_58

C. Huang, Y. Wu, and M. Shih, Unsupervised Pedestrian Re-identification for Loitering Detection Advances in Image and Video Technology, Third Pacific Rim Symposium, PSIVT 2009 Proceedings, volume 5414 of Lecture Notes in Computer Science, pp.771-783, 2009.

]. Ijiri, S. Lao, T. X. Han, and H. Murase, Human Re-identification through Distance Metric Learning based on Jensen-Shannon Kernel, pp.603-612, 2012.

]. A. Jain, Fundamentals of digital image processing, 1989.

]. A. Jain, L. Hong, S. Pankanti, and R. Bolle, An identity-authenfication system using fingerprints, Proceedings of the IEEE, p.85, 1997.

]. A. Jain and S. Pankanti, FingerCode: a filterbank for fingerprint representation and matching, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), p.2187, 1999.
DOI : 10.1109/CVPR.1999.784628

]. Javed, Z. Rasheed, K. Shafique, and M. Shah, Tracking across multiple cameras with disjoint views, Proceedings Ninth IEEE International Conference on Computer Vision, pp.952-957, 2003.
DOI : 10.1109/ICCV.2003.1238451

O. Javed, K. Shafique, and M. Shah, Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.26-33, 2005.
DOI : 10.1109/CVPR.2005.71

]. Javed, K. Shafique, Z. Rasheed, and M. Shah, Modeling inter-camera space???time and appearance relationships for tracking across non-overlapping views, Computer Vision and Image Understanding, vol.109, issue.2, pp.146-162, 2008.
DOI : 10.1016/j.cviu.2007.01.003

]. Jia and Y. Zhang, Fast Human Detection by Boosting Histograms of Oriented Gradients, Fourth International Conference on Image and Graphics (ICIG 2007), pp.683-688, 2007.
DOI : 10.1109/ICIG.2007.53

N. Jojic, A. Perina, M. Cristani, V. Murino, and B. Frey, Stel component analysis: Modeling spatial correlations in image class structure, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.2044-2051, 2009.
DOI : 10.1109/CVPR.2009.5206581

]. Jones, P. Viola, P. Viola, M. J. Jones, D. Snow et al., Detecting Pedestrians Using Patterns of Motion and Appearance, ICCV, pp.734-741, 2003.

]. Kang, I. Cohen, and G. Medioni, Object Reacquisition Using Invariant Appearance Model, Proceedings of the Pattern Recognition, 17th International Conference on, pp.759-762, 2004.

]. N. Kanhere and S. T. Birchfield, Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features, IEEE Transactions on Intelligent Transportation Systems, vol.9, issue.1, pp.148-160, 2008.
DOI : 10.1109/TITS.2007.911357

]. and D. Kelly, Visual identification of people by computer, p.7112934, 1971.

]. Lin and L. S. Davis, Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance, Proceedings of the 4th International Symposium on Advances in Visual Computing, ISVC '08, pp.23-34, 2008.
DOI : 10.1007/978-3-540-89639-5_3

H. Wechsler, A Unified Bayesian Framework for Face Recognition, ICIP (1), pp.151-155, 1998.

G. David and . Lowe, Object Recognition from Local Scale-Invariant Features, Proceedings of the International Conference on Computer Vision, p.1150, 1999.

G. David and . Lowe, Distinctive Image Features from Scale-Invariant Keypoints, 2004.

D. Bruce, T. Lucas, and . Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, pp.674-679, 1981.

M. Raman and H. Aggarwal, Study and Comparison of Various Image Edge Detection Techniques, In International Journal of Image Processing, vol.3, pp.1-11, 2009.

]. D. Maio and D. Maltoni, Neural network based minutiae filtering in fingerprints, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), p.1654, 1998.
DOI : 10.1109/ICPR.1998.712036

]. L. Masek and P. Kovesi, MATLAB Source Code for a Biometric Identification System based on Iris Patterns, 2003.

]. J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust Wide Baseline Stereo from Maximally Stable Extremal Regions, Proc. BMVC, 2002.
DOI : 10.5244/c.16.36

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.8241

]. M. Mchugh, J. Konrad, V. Saligrama, and P. Jodoin, Foreground-Adaptive Background Subtraction, IEEE Signal Processing Letters, vol.16, issue.5, pp.390-393, 2009.
DOI : 10.1109/LSP.2009.2016447

A. V. Nefian and H. Monson, Hayes and III. Face Detection and Recognition Using Hidden Markov Models, International Conference on Image Processing, pp.141-145, 1998.

A. Nghiem, F. Bremond, M. Thonnat, and V. Valentin, ETISEO, performance evaluation for video surveillance systems, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007.
DOI : 10.1109/AVSS.2007.4425357

URL : https://hal.archives-ouvertes.fr/inria-00502945

]. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, pp.51-59, 1996.
DOI : 10.1016/0031-3203(95)00067-4

M. Ojala, T. Pietikäinen, and . Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1576

C. Michael-oren, P. Papageorgiou, E. Sinha, T. Osuna, and . Poggio, Pedestrian Detection Using Wavelet Templates, Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), CVPR '97, p.193, 1997.

]. K. Pahlavan and J. O. Eklundh, A head-eye system???Analysis and design, CVGIP: Image Understanding, 1992.
DOI : 10.1016/1049-9660(92)90084-G

P. Constantine, M. Papageorgiou, T. Oren, and . Poggio, A General Framework for Object Detection, Proceedings of the Sixth International Conference on Computer Vision, 1998.

C. Papageorgiou and T. Poggio, A Trainable System for Object Detection, International Journal of Computer Vision, vol.38, issue.1, pp.15-33, 2000.
DOI : 10.1023/A:1008162616689

]. U. Park, A. K. Jain, I. Kitahara, K. Kogure, and N. Hagita, ViSE: Visual Search Engine Using Multiple Networked Cameras, 18th International Conference on Pattern Recognition (ICPR'06), pp.1204-1207, 2006.
DOI : 10.1109/ICPR.2006.1176

L. S. Davis, Learning Discriminative Appearance-Based Models Using Partial Least Squares, Proceedings of the 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, pp.322-329, 2009.

D. Serby and L. Van-gool, Probabilistic object tracking using multiple features, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.184-187, 2004.
DOI : 10.1109/ICPR.2004.1334091

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.4574

J. Shin, S. Kim, S. Kang, . Seong-won, J. Lee et al., Optical flow-based real-time object tracking using non-prior training active feature model, Real-Time Imaging, vol.11, issue.3, pp.204-218, 2005.
DOI : 10.1016/j.rti.2005.03.006

Y. Patrice, L. Simard, P. Bottou, Y. Haffner, and . Lecun, Boxlets: a fast convolution algorithm for signal processing and neural networks, Proceedings of the 1998 conference on Advances in neural information processing systems II, pp.571-577, 1999.

]. L. Sirovich and M. Kirby, Low-dimensional procedure for the characterization of human faces, Journal of the Optical Society of America A, vol.4, issue.3, pp.519-524, 1987.
DOI : 10.1364/JOSAA.4.000519

]. A. Smith and A. E. Gelfand, Bayesian Statistics without Tears: A Sampling???Resampling Perspective, The American Statistician, vol.46, issue.2, pp.84-88, 1992.
DOI : 10.1080/01621459.1986.10478240

]. T. Søndrål, Using the human gait for authentication. Master's thesis, 2005.

]. Sonka, V. Hlavac, and R. Boyle, Image processing, analysis, and machine vision. Thomson-Engineering, 2007.
DOI : 10.1007/978-1-4899-3216-7

]. Souded, L. Giulieri, and F. Bremond, An object tracking in particle filtering and data association framework, using SIFT features, 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 2011.
DOI : 10.1049/ic.2011.0104

URL : https://hal.archives-ouvertes.fr/hal-00647256

]. D. Truong-cong, L. Khoudour, C. Achard, C. Meurie, and O. Lezoray, People re-identification by spectral classification of silhouettes, Signal Processing, vol.90, issue.8, pp.2362-2374, 2010.
DOI : 10.1016/j.sigpro.2009.09.005

M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, vol.10, issue.9, pp.71-86, 1991.
DOI : 10.1007/BF00239352

N. Vladimir and . Vapnik, The nature of statistical learning theory, 1995.

]. Verma, C. Liu, and J. Jia, New colour SIFT descriptors for image classification with applications to biometrics, International Journal of Biometrics, vol.3, issue.1, pp.56-75, 2011.
DOI : 10.1504/IJBM.2011.037714

V. Paul and M. Jones, Rapid object detection using a boosted cascade of simple features, pp.511-518, 2001.

]. M. Viola, M. J. Jones, and P. Viola, Fast Multi-view Face Detection, 2003.

P. Viola and M. J. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.
DOI : 10.1023/B:VISI.0000013087.49260.fb

N. Stefan-walk, K. Majer, B. Schindler, and . Schiele, New Features and Insights for Pedestrian Detection, Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

W. Li and D. He, Texture classification using texture spectrum, Pattern Recogn, vol.23, issue.8, pp.905-910, 1990.

]. Wang, T. Tan, W. Hu, and H. Ning, Automatic gait recognition based on statistical shape analysis, IEEE Transactions on Image Processing, vol.12, issue.9, pp.1120-1131, 2003.
DOI : 10.1109/TIP.2003.815251

]. Wang, T. Tan, H. Ning, and W. Hu, Silhouette analysis-based gait recognition for human identification, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1505-1518, 2003.
DOI : 10.1109/TPAMI.2003.1251144

]. Wang, G. Doretto, T. Sebastian, J. Rittscher, and P. Tu, Shape and Appearance Context Modeling. Computer Vision, IEEE International Conference on, pp.1-8, 2007.
DOI : 10.1109/iccv.2007.4409019

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.7869

R. P. Wildes, Iris recognition: an emerging biometric technology, Proceedings of the IEEE, vol.85, issue.9, pp.1348-1363, 1997.
DOI : 10.1109/5.628669

B. Wu and R. Nevatia, Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors, Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05, 2005.

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, pp.247-266, 2007.
DOI : 10.1007/s11263-006-0027-7

]. Xing, H. Ai, and S. Lao, Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1200-1207, 2009.

R. Duraiswami and L. Davis, Fast multiple object tracking via a hierarchical particle filter, In: International Conference on Computer Vision, pp.212-219, 2005.

D. Ramanan, Articulated Human Detection with Flexible Mixtures-of-Parts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.99, issue.PrePrints, p.1, 2012.