[1] 吴国星. 智能视频监控下的目标跟踪关键技术研究[D]. 南京: 南京理工大学, 2017.

    Wu GX. Research on key technology of object tracking in intelligent video surveillance[D]. Nanjing: Nanjing University of Science and Technology, 2017.

[2] 卢湖川, 李佩霞, 王栋. 目标跟踪算法综述[J]. 模式识别与人工智能, 2018, 31(1): 61-76.

    Lu H C, Li P X, Wang D. Visual object tracking: a survey[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(1): 61-76.

[3] 茅正冲, 陈海东. 基于核相关滤波的长期目标跟踪算法[J]. 激光与光电子学进展, 2019, 56(1): 010702.

    Mao Z C, Chen H D. Long-term object tracking algorithm based on kernelized correlation filter[J]. Laser & Optoelectronics Progress, 2019, 56(1): 010702.

[4] 张焕龙, 胡士强, 杨国胜. 基于外观模型学习的视频目标跟踪方法综述[J]. 计算机研究与发展, 2015, 52(1): 177-190.

    Zhang H L, Hu S Q, Yang G S. Video object tracking based on appearance models learning[J]. Journal of Computer Research and Development, 2015, 52(1): 177-190.

[5] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.

[6] Smeulders A W M, Chu D M, Cucchiara R, et al. Visual tracking: an experimental survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(7): 1442-1468.

[7] 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.

[8] 刘晓悦, 王云明, 马伟宁. 融合FHOG和LBP特征的尺度自适应相关滤波跟踪算法[J]. 激光与光电子学进展, 2020, 57(4): 041512.

    Liu X Y, Wang Y M, Ma W N. Scale-adaptive correlation filter tracking algorithm based on FHOG and LBP features[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041512.

[9] 廖秀峰, 侯志强, 余旺盛, 等. 基于核相关的尺度自适应视觉跟踪[J]. 光学学报, 2018, 38(7): 0715002.

    Liao X F, Hou Z Q, Yu W S, et al. A scale adapted tracking algorithm based on kernelized correlation[J]. Acta Optica Sinica, 2018, 38(7): 0715002.

[10] 王凯宇, 陈志国, 傅毅. 基于相关滤波器的目标抗遮挡算法[J]. 激光与光电子学进展, 2019, 56(3): 030401.

    Wang K Y, Chen Z G, Fu Y. Target anti-occlusion algorithm based on correlation filter[J]. Laser & Optoelectronics Progress, 2019, 56(3): 030401.

[11] MuellerM, SmithN, GhanemB. Context-aware correlation filter tracking[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 1387- 1395.

[12] 万欣, 张春辉, 张琳, 等. 加权全局上下文感知相关滤波视觉跟踪算法[J]. 计算机工程与应用, 2018, 54(16): 1-12, 67.

    Wan X, Zhang C H, Zhang L, et al. Visual tracking via weighted global context-aware correlation filter[J]. Computer Engineering and Applications, 2018, 54(16): 1-12, 67.

[13] BibiA, MuellerM, GhanemB. Target response adaptation for correlation filter tracking[M] //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9910: 419- 433.

[14] BertinettoL, ValmadreJ, GolodetzS, et al.Staple:complementary learners for real-time tracking[C] //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE Press, 2016: 1401- 1409.

[15] 尹宽, 李均利, 李丽, 等. 复杂情况下自适应特征更新目标跟踪算法[J]. 光学学报, 2019, 39(11): 1115002.

    Yin K, Li J L, Li L, et al. Adaptive feature update object-tracking algorithm in complex situations[J]. Acta Optica Sinica, 2019, 39(11): 1115002.

[16] LiY, Zhu JK. A scale adaptive kernel correlation filter tracker with feature integration[M] //Agapito L, Bronstein M, Rother C. Computer vision-ECCV 2014 workshops. Lecture notes in computer science. Cham: Springer, 2015, 8926: 254- 265.

[17] DanelljanM, HägerG, Khan FS, et al.Learning spatially regularized correlation filters for visual tracking[C] //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile.New York: IEEE Press, 2015: 4310- 4318.

[18] DanelljanM, RobinsonA, Shahbaz KhanF, et al. Beyond correlation filters: learning continuous convolution operators for visual tracking[M] //Leibe B, Matas J , Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9909: 472- 488.

[19] PosseggerH, MauthnerT, BischofH. In defense of color-based model-free tracking[C] //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA.New York: IEEE Press, 2015: 2113- 2120.

[20] Wang MM, LiuY, Huang ZY. Large margin object tracking with circulant feature maps[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 4800- 4808.

[21] WangC, ZhangL, XieL, et al. Kernel cross-correlator[EB/OL]. (2018-02-26)[2020-07-29]. https://arxiv.org/abs/1709.05936. 05936.

[22] MaC, Yang XK, Zhang CY, et al.Long-term correlation tracking[C] //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA.New York: IEEE Press, 2015: 5388- 5396.

[23] Dai KN, WangD, Lu HC, et al.Visual tracking via adaptive spatially-regularized correlation filters[C] //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA.New York: IEEE Press, 2019: 4665- 4674.

[24] ValmadreJ, BertinettoL, HenriquesJ, et al.End-to-end representation learning for correlation filter based tracking[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 5000- 5008.

[25] GuoQ, FengW, ZhouC, et al.Learning dynamic Siamese network for visual object tracking[C] //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy.New York: IEEE Press, 2017: 1781- 1789.