[1] [1] Doretto G, Sebastian T, Tu P, et al. Appearance-based person reidentification in camera networks: problem overview and current approaches [J]. Journal of Ambient Intelligence and Humanized Computing(S1868-5137), 2011, 2(2): 127-151.

[2] [2] Vezzani R, Baltieri D, Cucchiara R. People reidentification in surveillance and forensics: A survey [J]. ACM Computing Surveys(S0360-0300), 2013, 46(2): 29.

[3] [3] Layne R, Hospedales T M, Gong S. Person Re-identification by Attributes [C]// Proceedings of the British Machine Vision Conference, Surrey, UK, Sep 3-7, 2012, 2: 1-11.

[4] [4] Gong S, Cristani M, Yan S, et al. Person Re-Identification [M]. Springer London, 2014: 1-445.

[5] [5] Mignon A, Jurie F. PCCA: A new approach for distance learning from sparse pairwise constraints [C]// The IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, Jun 16-21, 2012: 2666-2672.

[6] [6] LI Wei, ZHAO Rui, WANG Xiaogang. Human reidentification with transferred metric learning [C]// Computer Vision–ACCV 2012. Springer Berlin Heidelberg, 2013, 7724: 31-44.

[7] [7] Farenzena M, Bazzani L, Perina A, et al. Person re-identification by symmetry-driven accumulation of local features [C]// The IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, Jun 13-18, 2010: 2360-2367.

[8] [8] ZHAO Rui, OUYANG Wanli, WANG Xiaogang. Unsupervised salience learning for person re-identification [C]// The IEEE Conference on Computer Vision and Pattern Recognition, Oregon Convention Center, Portland, Jun 25-27, 2013: 3586-3593.

[9] [9] ZHOU Dengyong, Weston J, Gretton A, et al. Ranking on data manifolds [C]// Advances in Neural Information Processing Systems, Vancouver, Canada, Dec 8-13, 2003, 16: 169-176.

[10] [10] CAI Yinghao, Pietik.inen M. Person re-identification based on global color context [C]// Asian Conference on Computer Vision, Queenstown, New Zealand, Nov 8-9, 2010, 1: 205-215.

[11] [11] Bazzani L, Cristani M, Murino V. Symmetry-driven accumulation of local features for human characterization and re-identification [J]. Computer Vision and Image Understanding(S1077-3142), 2013, 117(2): 130-144.

[12] [12] Gray D, Brennan S, Tao H. Evaluating appearance models for recognition, reacquisition, and tracking [C]// IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Rio de Janeiro, Brazil, Oct 14-16, 2007: 41-47.

[13] [13] Gray D, Tao H. Viewpoint invariant pedestrian recognition with an ensemble of localized features [C]// Computer Vision–ECCV 2008. Springer Berlin Heidelberg, 2008, 5302: 262-275.

[14] [14] Opening source code of Unsupervised Salience Learning for Person Re-identification [DB/OL]. 2015. https: //github.com/Robert0812/salience_reid.