[1] 罗海波, 许凌云, 惠斌, 等. 基于深度学习的目标跟踪方法研究现状与展望[J]. 红外与激光工程, 2017, 46(5): 0502002.

Luo Haibo, Xu Lingyun, Hui Bin, et al. Status and prospect of target tracking based on deep learning [J]. Infrared and Laser Engineering, 2017, 46(5): 0502002. (in Chinese)
[2] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.
[3] Chen Hongyu, Luo Haibo, Chen Faling, et al. Scale adaptive part-based tracking method using multiple correlation filters [J]. Optical Engineering, 2019, 58(5): 053106.
[4] 房胜男, 谷小婧, 顾幸生. 基于自适应响应融合的相关滤波红外目标跟踪[J]. 红外与激光工程, 2019, 48(6): 0626003.

Fang Shengnan, Gu Xiaojing, Gu Xingsheng. Infrared target tracking with correlation filter based on adaptive fusion of responses [J]. Infrared and Laser Engineering, 2019, 48(6): 0626003. (in Chinese)
[5] Song Yibing, Ma Chao, Wu Xiaohe, et al. VITAL: Visual tracking via adversarial learning[C]//Proceedings of the IEEEConference on Computer Vision and Pattern Recognition, 2018: 8990-8999.
[6] Bhat G, Johnander J, Danelljan M, et al. Unveiling the power of deep tracking[C]//Proceedings of the European Conference on Computer Vision, 2018: 493-509.
[7] Gao Peng, Ma Yipeng, Yuan Ruyue, et al. Learning cascaded siamese networks for high performance visual tracking[C]//Proceeding of the IEEE International Conference on Image Processing, 2019: 3078-3082.
[8] Zhang Kaihua, Zhang Lei, Yang Minghsuan, et al. Fast visual tracking via dense spatio-temporal context learning[C]//Proceedings of the European Conference on Computer Vision, 2014: 127-141.
[9] Wei X G, Zhang S, Chan S C. A novel visual object tracking algorithm using multiple spatial context models and Bayesian Kalman filter[C]//Proceeding of the IEEE International Symposium on Circuits and Systems, 2015: 1034-1037.
[10] 翟敬梅, 刘坤. 特征点辅助的时空上下文目标跟踪与定位[J]. 仪器仪表学报, 2017, 38(11): 2839-2848. doi:  10.3969/j.issn.0254-3087.2017.11.027

Zhai Jingmei, Liu Kun. Object tracking and location with spatio-temporal context assisted by key points [J]. Chinese Journal of Scientific Instruments, 2017, 38(11): 2839-2848. (in Chinese) doi:  10.3969/j.issn.0254-3087.2017.11.027
[11] 郭文, 游思思, 张天柱, 等. 低秩重检测的多特征时空上下文的视觉跟踪[J]. 软件学报, 2018, 29(4): 1017-1028.

Guo Wen, You Sisi, Zhang Tianzhu, et al. Object tracking via low-rank redetection based multiple feature fusion spatio-temporal context learning [J]. Journal of Software, 2018, 29(4): 1017-1028. (in Chinese)
[12] 王向军, 郭志翼. 算力限制平台下的长时目标跟踪[J]. 红外与激光工程, 2020, 49(1): 0126003.

Wang Xiangjun, Guo Zhiyi. Long-term target tracking algorithms in force-constrained platform [J]. Infrared and Laser Engineering, 2020, 49(1): 0126003. (in Chinese)
[13] Danelljan M, Khan F S, Felsberg M, et al. Adaptive color attributes for real-time visual tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1090-1097.
[14] 苏贇, 王挺, 姚辰, 等. 基于合作目标的无人机目标跟踪方法[J]. 机器人, 2019, 41(4): 425-432. doi:  10.13973/j.cnki.robot.180479

Su Yun, Wang Ting, Yao Chen, et al. A target tracking method of UAV based on cooperative target [J]. Robot, 2019, 41(4): 425-432. (in Chinese) doi:  10.13973/j.cnki.robot.180479
[15] Wu Yi, Lim Jongwoo, Yang Minghsuan. Object tracking benchmark [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.