M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, Person re-identification by symmetry-driven accumulation of local features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2360-2367, 2010.
DOI : 10.1109/CVPR.2010.5539926

K. Q. Weinberger and L. K. Saul, Distance metric learning for large margin nearest neighbor classification, Journal of Machine Learning Research, vol.10, pp.207-244, 2009.

M. Dikmen, E. Akbas, T. S. Huang, and N. Ahuja, Pedestrian Recognition with a Learned Metric, Proc. Asian Conf. Comput. Vis. (ACCV), pp.501-512, 2011.
DOI : 10.1145/1102351.1102441
URL : http://vision.ai.uiuc.edu/publications/dikmen_accv10.pdf

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

B. Prosser, W. Zheng, S. Gong, and T. Xiang, Person reidentification by support vector ranking, Proceedings of the 2010 British Machine Vision Conference (BMVC), pp.21-22, 2010.
DOI : 10.5244/c.24.21
URL : http://www.bmva.org/bmvc/2010/conference/paper21/paper21.pdf

A. Bedagkar-gala and S. K. Shah, A survey of approaches and trends in person re-identification, Image and Vision Computing, vol.32, issue.4, pp.270-286, 2014.
DOI : 10.1016/j.imavis.2014.02.001

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

B. Ma, Y. Su, and F. Jurie, Local Descriptors Encoded by Fisher Vectors for Person Re-identification, International Workshop Conjunction with European Conference on Computer Vision, pp.413-422, 2012.
DOI : 10.1007/978-3-642-33863-2_41
URL : https://hal.archives-ouvertes.fr/hal-00806066

M. Munaro, A. Fossati, A. Basso, E. Menegatti, and L. Van-gool, One-Shot Person Re-identification with a Consumer Depth Camera, Person Re-Identification, pp.161-181, 2014.
DOI : 10.1007/978-1-4471-6296-4_8

C. Liu, S. Gong, C. C. Loy, and X. Lin, Person Re-identification: What Features Are Important?, European Conference on Computer Vision, pp.391-401, 2012.
DOI : 10.1007/978-3-642-33863-2_39
URL : http://www.eecs.qmul.ac.uk/~sgg/papers/LiuEtAl_REID2012.pdf

A. Mignon and F. Jurie, PCCA: A new approach for distance learning from sparse pairwise constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2666-2672, 2012.
DOI : 10.1109/CVPR.2012.6247987
URL : https://hal.archives-ouvertes.fr/hal-00806007

S. Bak, G. Charpiat, E. Corvee, F. Bremond, and M. Thonnat, Learning to match appearances by correlations in a covariance metric space, Proceedings of the 2012 European Conference on Computer Vision (ECCV), pp.806-820, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00731792

N. Martinel and C. Micheloni, Re-identify people in wide area camera network, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.31-36, 2012.
DOI : 10.1109/CVPRW.2012.6239203

S. Liao, Y. Hu, X. Zhu, and S. Z. Li, Person re-identification by Local Maximal Occurrence representation and metric learning, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2197-2206, 2015.
DOI : 10.1109/CVPR.2015.7298832
URL : http://arxiv.org/pdf/1406.4216

J. Jia, Q. Ruan, and Y. Jin, Geometric Preserving Local Fisher Discriminant Analysis for person re-identification, Neurocomputing, vol.205, issue.205, pp.92-105, 2016.
DOI : 10.1016/j.neucom.2016.05.003

D. Li, Z. Zhang, X. Chen, H. Ling, and K. Huang, A richly annotated dataset for pedestrian attribute recognition, 2016.