[1] Chen B, Zha Y F, Li Y Q et al. Person re-identification based on convolutional neural network discriminative feature learning[J]. Acta Optica Sinica, 38, 0720001(2018).

[2] Huang X Y, Xu J L, Guo G et al. Real-time pedestrian reidentification based on enhanced aggregated channel features[J]. Laser & Optoelectronics Progress, 54, 091001(2017).

[3] Ahmed E, Jones M, Marks T K. An improved deep learning architecture for person re-identification. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 3908-3916(2015).

[4] Chen W H, Chen X T, Zhang J G et al. A multi-task deep network for person re-identification[C]∥Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix., 3988-3994(2016).

[5] Wei L, Zhang S, Yao H et al. GLAD: global-local-alignment descriptor for pedestrian retrieval. [C]∥Proceedings of the 25th ACM international conference on Multimedia, October 23-27, 2017, Mountain View, California. New York: ACM, 420-428(2017).

[6] Sun Y F, Zheng L, Yang Y et al. Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline)[M]. ∥Ferrari V, Hebert M, Sminchisescu C, et al. Lecture notes in computer science. Cham: Springer, 11208, 501-518(2018).

[7] Zheng L, Shen L Y, Tian L et al. Scalable person re-identification: a benchmark. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1116-1124(2015).

[8] Zheng Z D, Zheng L, Yang Y. Unlabeled samples generated by GAN improve the person re-identification baseline in vitro. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 3774-3782(2017).

[9] Zhu X B, Che J. Personre-identification algorithm based on feature fusion and subspace learning[J]. Laser & Optoelectronics Progress, 56, 021503(2019).

[10] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015). http://www.sciencedirect.com/science/article/pii/S0031320315004252

[11] Wu M, Zha Y F, Zhang Y Q et al. Visual tracking algorithm based on classification-validation model[J]. Acta Optica Sinica, 38, 0515003(2018).

[12] Felzenszwalb F, Girshick B. McAllester D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 1627-1645(2010).

[13] Deng J, Dong W, Socher R et al. ImageNet: a large-scale hierarchical image database. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 248-255(2009).

[14] Zhong Z, Zheng L, Zheng Z D et al. Camera style adaptation for person re-identification. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 5157-5166(2018).

[15] Zheng Z D, Zheng L, Yang Y. A discriminatively learned CNN embedding for person reidentification[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 14, 13(2018).

[16] Zhong Z, Zheng L, Cao D L et al. Re-ranking person re-identification with k-reciprocal encoding. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 3652-3661(2017).

[17] Sarfraz M S, Schumann A, Eberle A et al. A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 420-429(2018).

[18] Sun Y F, Zheng L, Deng W J et al. SVDNet for pedestrian retrieval. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 3820-3828(2017).

[19] Chen Y B, Zhu X T, Gong S G. Person re-identification by deep learning multi-scale representations. [C]∥2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy. New York: IEEE, 2590-2600(2017).

[20] Chang X B, Hospedales T M, Xiang T. Multi-level factorisation net for person re-identification. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2109-2118(2018).

[21] Li W, Zhu X T, Gong S G. Harmonious attention network for person re-identification. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2285-2294(2018).