E. Ahmed, M. Jones, and T. K. Marks, An improved deep learning architecture for person re-identification, Proceedings of CVPR, pp.3908-3916, 2015.

Y. Cai, V. Takala, and M. Pietikainen, Matching groups of people by covariance descriptor, Pattern Recognition (ICPR), 2010 20th International Conference on, pp.2744-2747, 2010.

M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, Person reidentification by symmetry-driven accumulation of local features, Proceedings of CVPR, pp.2360-2367, 2010.

D. Gray and H. Tao, Viewpoint invariant pedestrian recognition with an ensemble of localized features, Proceedings of ECCV, pp.262-275, 2008.

K. He, X. Zhang, S. Ren, and J. Sun, Deep residual learning for image recognition, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.770-778, 2016.

H. Jégou, M. Douze, C. Schmid, and P. Pérez, Aggregating local descriptors into a compact image representation, CVPR. pp, pp.3304-3311, 2010.

M. Koestinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof, Large scale metric learning from equivalence constraints, Proceedings of CVPR, pp.2288-2295, 2012.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012.

W. Li, R. Zhao, T. Xiao, and X. Wang, Deepreid:deep filter pairing neural network for person re-identification, Proceedings of CVPR, pp.152-159, 2014.
DOI : 10.1109/cvpr.2014.27

S. Liao, Y. Hu, X. Zhu, and S. Z. Li, Person re-identification by local maximal occurrence representation and metric learning, Proceedings of CVPR, 2015.
DOI : 10.1109/cvpr.2015.7298832

URL : http://arxiv.org/pdf/1406.4216

G. Lisanti, N. Martinel, A. Del-bimbo, and G. L. Foresti, Group re-identification via unsupervised transfer of sparse features encoding, Proceedings of ICCV, 2017.

S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian, Local fisher discriminant analysis for pedestrian re-identification, Proceedings of CVPR, pp.3318-3325, 2013.
DOI : 10.1109/cvpr.2013.426

J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek, Image classification with the fisher vector: Theory and practice, International journal of computer vision, vol.105, issue.3, pp.222-245, 2013.

G. Tolias, R. Sicre, and H. Jégou, Particular object retrieval with integral maxpooling of cnn activations, International Conference on Learning Representations, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01842218

N. Ukita, Y. Moriguchi, and N. Hagita, People re-identification across nonoverlapping cameras using group features. Computer Vision and Image Understanding 144, pp.228-236, 2016.
DOI : 10.1016/j.cviu.2015.06.011

R. R. Varior, M. Haloi, and G. Wang, Gated siamese convolutional neural network architecture for human re-identification, Proceedings of the ECCV, pp.791-808, 2016.
DOI : 10.1007/978-3-319-46484-8_48

URL : http://arxiv.org/pdf/1607.08378

L. Wei and S. K. Shah, Subject centric group feature for person re-identification, CVPR Workshops, pp.28-35, 2015.
DOI : 10.1109/cvprw.2015.7301280

L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang et al., Scalable person reidentification: A benchmark, Computer Vision, IEEE International Conference on, 2015.
DOI : 10.1109/iccv.2015.133

W. S. Zheng, S. Gong, and T. Xiang, Associating groups of people, 2009.
DOI : 10.5244/c.23.23