[3] [3] Kai J L, Arens M. Local feature based person re-identification in infrared image sequences［C］∥In:Proceedings of the 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.Boston,USA:IEEE,2010:448-455.

[5] [5] Zajdel W, Zivkovic Z, Krose B J A. Keeping track of humans: have I seen this person［C］∥Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Barcelona,Spain:IEEE,2005:2081-2086.

[6] [6] Jin Kyu Kang, Toan Minh Hoang, Kang Ryoung park. Person re-identification between visible and thermal cameraimagesbased on deep residual CNN using single input［J］.IEEE Access,2019:57972-57984.

[7] [7] Wu Ancong, Zheng Weishi, Yu Hongxing, et al. RGB-infrared cross-modality person re-identification［C］∥Proc of the IEEE International Conference on Computer Vision. Washington,USA:IEEE,2017:5380-5389.

[8] [8] Wang Guan’an, Zhang Tianzhu, Cheng Jian, et al. RGB-infrared cross-modality person re-identification via joint pixel and feature alignment［C］∥Proc of the IEEE/ CVF International Conference on Computer Vision.Washington,USA:IEEE,2019:3623-3632.

[9] [9] Wang Guan-An, Zhang Tianzhu, Yang Yang, et al. Cross-modality paired-images generation for rgb-infrared person re-identification［C］∥AAAI-20 AAAI Conference on Artificial Intelligence.USA:AAAI-20,2020:12144-12151.

[10] [10] Ye Mang, Lan X Y, Li J W, et al. Hierarchical discriminative learning for visible thermal person re-identification［C］∥Proc ofthe 32nd AAAI Conference on Artificial Intelligence.PaloAlto,USA,2018:7501-7508.

[11] [11] Ye Mang, Wang Zheng, Lan Xianyuan, et al. Visible thermal person re-identification via dual-constrained top-ranking［C］∥ Proceedings of the Twenty-Seventh International Joint Confe rence on Artificial Intelligence.Stockholm:IJCAI-18,2018:1092-1099.

[12] [12] Seokeon Choi, Sumin Lee, Youngeun Kim, et al. Hi-CMD: hierarchical cross-modality disentanglement for visible-infraredperson re-identification［C］∥ Proc of the IEEE/ CVF Conference on Computer Vision and Pattern Recognition. Washington,USA:IEEE,2020:10254-10263.

[13] [13] Wang Zhixiang, Wang Zheng, Zheng Yinqiang, et al. Learning to reduce dual-level discrepancy for infrared-visible person re-identification［C］∥Proc of the IEEE / CVF Conference on Computer Vision and Pattern Recognition.Washington,USA:IEEE,2019:618-626.

[14] [14] Liu Haijun, Chai Yanxia, Tan Xiaoheng, et al. Strong but simple baseline with dual-granularity triplet loss for visible-thermal person re-identification［J］. IEEE Signal Processing Letters,2021,28:653-657.

[15] [15] Liu Haijun, Tan Xiaoheng, Zhou Xichuan. Parameter sharingexploration and hetero-center triplet loss for visible-thermal person re-identification［J］. IEEE Transactions on Multimedia,2020,23:4414-4425.

[16] [16] Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Generativeadversarial networks［J］. Advances in Neural Information Processing Systems,2014,3:2672-2680.

[17] [17] Dat Tien Nguyen, Hyung Gil Hong, Ki Wan Kim, et al. Person recognition system based on a combination of body images from visible light and thermal cameras［J］.Sensors,2017,17(3):605-633.

[18] [18] Vladimir V. Kniaz, Vladimir A. Knyaz, Jií Hladu。vka, et al. ThermalGAN: multimodal color-to-thermal image translation for person re-identification in multispectral dataset［C］∥European Conference on Computer Vision.Leal-Taixé,L,Roth,S:Springer,Charm,2018:606-624.

[19] [19] Wu Ancong, Zheng Weishi, Gong Shaogang, et al. RGB-ir person re-identification by cross-modality similarity preservation［J］. International Journal of Computer Vision,2020,128(8):1765-1785.

[20] [20] Ye Mang, Shen Jianbing, David J Crandall. et al. Dynamic dual-attentive aggregation learning for visible-infrared person re-identification［C］∥European Conference on Computer Vision.Vedaldi, A, Bischof, H, Brox, T, Frahm, JM:Springer,Charm,2020:229-247.

[21] [21] Ye Mang, Shen Jianbing, Shao Ling. Visible-infrared person re-identification via homogeneous augmented tri-modal learning［J］.IEEE Transactions on Information Forensics and Security,2021,16:728-739.

[22] [22] Ling Yongguo, Zhong Zhun, Luo Zhiming, et al. Class-awaremodality mix and center-guided metric learning for visible-thermal person re-identification［C］∥Proceedings of the 28th ACM International Conference on Multimedia.Seattle,WA,USA:ACM,2020:889-897.