J. H. Friedman, J. L. Bentley, and R. A. , An Algorithm for Finding Best Matches in Logarithmic Expected Time, ACM Transactions on Mathematical Software, vol.3, issue.3, pp.209-226, 1977.
DOI : 10.1145/355744.355745

O. Hamdoun, F. Moutarde, B. Stanciulescu, and B. Steux, Person reidentification in multi-camera system by signature based on interest point descriptors collected on short video sequences, ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), pp.1-6, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00332032

K. Jungling and M. , Arens, View-invariant person re-identification with an implicit shape model, Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, pp.197-202, 2011.
DOI : 10.1109/avss.2011.6027319

N. Truong-cong, C. Achard, and L. Khoudour, People re-identification by classification of silhouettes based on sparse representation, 2010 2nd International Conference on Image Processing Theory, Tools and Applications, pp.60-65, 2010.
DOI : 10.1109/IPTA.2010.5586809

J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, Robust Face Recognition via Sparse Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.2, pp.210-227, 2009.
DOI : 10.1109/TPAMI.2008.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.4658

M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, Person reidentification by symmetry-driven accumulation of local features, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2360-2367, 2010.

M. Hirzer, C. Beleznai, P. M. Roth, and H. Bischof, Person Re-identification by Descriptive and Discriminative Classification, Proceedings of the 17th Scandinavian conference on Image analysis, pp.91-102, 2011.
DOI : 10.5244/C.23.23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.384.672

O. Tuzel, F. Porikli, and P. Meer, Region Covariance: A Fast Descriptor for Detection and Classification, Proceedings of the 9th European Conference on Computer Vision, volume Part II, pp.589-600, 2006.
DOI : 10.1109/ICCV.2003.1238382
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2231

G. Lisanti, I. Masi, A. Bagdanov, and A. D. Bimbo, Person re-identification by iterative re-weighted sparse ranking, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.37, pp.1629-1642, 2015.
DOI : 10.1109/tpami.2014.2369055

D. Gray and H. Tao, Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features, Proceedings of the 10th European Conference on Computer Vision, volume Part I, pp.262-275, 2008.
DOI : 10.1109/ICPR.2006.1176

B. Prosser, W. Zheng, S. Gong, and T. , Xiang, Person re-identification by support vector ranking, Proceedings of the British Machine Vision Conference, pp.21-22, 2010.
DOI : 10.5244/c.24.21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.6600

M. Dikmen, E. Akbas, T. Huang, and N. Ahuja, Pedestrian Recognition with a Learned Metric, Proceedings of the 10th Asian Conference on Computer Vision, volume Part IV, pp.501-512, 2010.
DOI : 10.1145/1102351.1102441
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.389.5887

W. Zheng, S. Gong, and T. , Xiang, Person re-identification by probabilistic relative distance comparison, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.649-656, 2011.
DOI : 10.1109/cvpr.2011.5995598
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.3709

L. An, M. Kafai, S. Yang, and B. Bhanu, Reference-based person reidentification, Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.244-249, 2013.

S. Leurgans, R. Moyeed, and B. Silverman, Canonical correlation analysis when the data are curves, J Roy Statistical Soc, Ser B, pp.55-725, 1993.

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society (Series B), vol.58, pp.267-288, 1996.
DOI : 10.1111/j.1467-9868.2011.00771.x

S. Mallat and Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993.
DOI : 10.1109/78.258082
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.335.5769&rep=rep1&type=pdf

H. Bay, T. Tuytelaars, and L. V. , Surf: Speeded up robust features, Proceedings of 9th European Conference on Computer Vision, pp.404-417, 2006.
DOI : 10.1007/11744023_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046

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, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

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), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

B. Chakraborty, M. B. Holte, T. B. Moeslund, and J. Gonzílez, Selective spatio-temporal interest points, Computer Vision and Image Understanding, vol.116, issue.3, pp.396-410, 2012.
DOI : 10.1016/j.cviu.2011.09.010

J. Cao, T. Chen, and J. Fan, Landmark recognition with compact bow histogram and ensemble elm, Multimedia Tools Appl, pp.75-2839, 2016.
DOI : 10.1007/s11042-014-2424-1

A. M. Bruckstein, D. L. Donoho, and M. Elad, From sparse solutions of systems of equations to sparse modeling of signals and images, SIAM Rev, pp.51-85, 2009.

Z. Zhang, Y. Xu, J. Yang, X. Li, and D. Zhang, A Survey of Sparse Representation: Algorithms and Applications, IEEE Access, vol.3, pp.490-530, 2015.
DOI : 10.1109/ACCESS.2015.2430359
URL : https://hal.archives-ouvertes.fr/hal-01311245

E. J. Candès, J. K. Romberg, and T. Tao, Stable signal recovery from incomplete and, Comm. Pure Appl. Math, pp.1207-1223, 2006.

D. L. Donoho, For most large underdetermined systems of linear equations the minimal ???1-norm solution is also the sparsest solution, Communications on Pure and Applied Mathematics, vol.50, issue.6, pp.797-829, 2004.
DOI : 10.1017/CBO9780511662454

J. H. Friedman, T. Hastie, and R. Tibshirani, Regularization Paths for Generalized Linear Models via Coordinate Descent, Journal of Statistical Software, vol.33, issue.1, pp.1-22, 2010.
DOI : 10.18637/jss.v033.i01
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2929880/pdf

K. Guo, P. Ishwar, and J. Konrad, Action Recognition in Video by Sparse Representation on Covariance Manifolds of Silhouette Tunnels, pp.294-305, 2010.
DOI : 10.1109/CVPR.1992.223161

J. Cao, K. Zhang, M. Luo, C. Yin, and X. Lai, Extreme learning machine and adaptive sparse representation for image classification, Neural Networks, vol.81, pp.91-102, 2016.
DOI : 10.1016/j.neunet.2016.06.001

J. H. Friedman, Regularized Discriminant Analysis, Journal of the American Statistical Association, vol.33, issue.405, pp.165-175, 1989.
DOI : 10.2307/2529362
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.382.2682&rep=rep1&type=pdf

T. T. Wu and K. Lange, Coordinate descent algorithms for lasso penalized regression, The Annals of Applied Statistics, vol.2, issue.1, pp.224-244, 2008.
DOI : 10.1214/07-AOAS147SUPP
URL : http://arxiv.org/abs/0803.3876

D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino, Custom Pictorial Structures for Re-identification, Procedings of the British Machine Vision Conference 2011, pp.68-69, 2011.
DOI : 10.5244/C.25.68

S. Bak, E. Corvee, F. Bremond, and M. Thonnat, Person Re-identification Using Spatial Covariance Regions of Human Body Parts, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.435-440, 2010.
DOI : 10.1109/AVSS.2010.34
URL : https://hal.archives-ouvertes.fr/inria-00496116

L. Bazzani, M. Cristani, and V. Murino, Symmetry-driven accumulation of local features for human characterization and re-identification, Computer Vision and Image Understanding, vol.117, issue.2, pp.130-144, 2013.
DOI : 10.1016/j.cviu.2012.10.008

M. I. Khedher, M. A. El-yacoubi, and B. Dorizzi, Probabilistic matching pair selection for surf-based person re-identification, Biometrics Special Interest Group (BIOSIG), 2012.
URL : https://hal.archives-ouvertes.fr/hal-00745762

D. Cheng and M. Cristani, Person Re-identification by Articulated Appearance Matching, pp.139-160
DOI : 10.1007/978-1-4471-6296-4_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.486.3521

S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian, Local Fisher Discriminant Analysis for Pedestrian Re-identification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3318-3325, 2013.
DOI : 10.1109/CVPR.2013.426

X. Liu, M. Song, D. Tao, X. Zhou, C. Chen et al., Semi-supervised Coupled Dictionary Learning for Person Re-identification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.3550-3557, 2014.
DOI : 10.1109/CVPR.2014.454

W. Zuo, F. Wang, D. Zhang, L. Lin, Y. Huang et al., Distance Metric Learning via Iterated Support Vector Machines, IEEE Transactions on Image Processing, vol.26, issue.10, p.363, 2015.
DOI : 10.1109/TIP.2017.2725578

M. Zeng, Z. Wu, C. Tian, L. Zhang, and L. Hu, Efficient person re-identification by hybrid spatiogram and covariance descriptor, Computer Vision and Pattern Recognition Workshops (CVPRW), pp.48-56, 2015.

T. Wang, S. Gong, X. Zhu, and S. Wang, Person Re-identification by Video Ranking, Computer Vision, ECCV 2014, pp.688-703, 2014.
DOI : 10.1007/978-3-319-10593-2_45
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.6480

M. I. Khedher and M. A. , El-Yacoubi, Local sparse representation based interest point matching for person re-identification, International Conference on Neural Information Processing (ICONIP), pp.241-250, 2015.
DOI : 10.1007/978-3-319-26555-1_28

V. N. Vapnik, Statistical Learning Theory, 1998.