[1] 杨剑锋, 张建鹏. 基于核相关滤波的长时间目标跟踪[J]. 激光与光电子学进展, 2019, 56(2): 021502.

    Yang J F, Zhang J P. Long time target tracking based on kernel correlation filtering[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021502.

[2] 成悦, 李建增, 褚丽娜, 等. 基于模型与尺度更新的相关滤波跟踪算法[J]. 激光与光电子学进展, 2018, 55(12): 121015.

    Cheng Y, Li J Z, Zhu L N, et al. Correlation filter tracking algorithm based on model and scale updating[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121015.

[3] 冯棐, 吴小俊, 徐天阳. 基于子空间和直方图的多记忆自适应相关滤波目标跟踪算法[J]. 模式识别与人工智能, 2018, 31(7): 612-624.

    Feng F, Wu X J, Xu T Y. Object tracking with multiple memory learning and adaptive correlation filter based on subspace and histogram[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(7): 612-624.

[4] BolmeD, Beveridge JR, Draper BA, et al. Visual object tracking using adaptive correlation filters[C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA. New York: IEEE, 2010: 2544- 2550.

[5] Henriques JF, CaseiroR, MartinsP, et al. Exploiting the circulant structure of tracking-by-detection with kernels[M] ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science. Berlin, Heidelberg: Springer, 2012, 7575: 702- 715.

[6] 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.

[7] DanelljanM, H?gerG, Shahbaz KF, et al.Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference 2014, September 1-5, 2014, Nottingham, UK.UK: BMVA Press, 2014.

[8] 何雪东, 周盛宗. 快速尺度自适应核相关滤波目标跟踪算法[J]. 激光与光电子学进展, 2018, 55(12): 121501.

    He X D, Zhou S Z. Fast scale adaptive kernel correlation filtering algorithm for target tracking[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121501.

[9] DanelljanM, HagerG, 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, 2015: 4310- 4318.

[10] LukezicA, VojirT, Zajc LC, et al. Discriminative correlation filter with channel and spatial reliability[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 4847- 4856.

[11] Lin ZC, Liu RS, Su ZX. Linearized alternating direction method with adaptive penalty for low-rank representation[C]∥NIPS 2011: Neural Information Processing Systems Conference, December 12-15, 2011, Granada, Spain. Canada: NIPS, 2011: 612- 620.

[12] He KM, Zhang XY, Ren SQ, et al. Deep residual learning for image recognition[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016: 770- 778.

[13] BhatG, JohnanderJ, DanelljanM, et al. Unveiling the power of deep tracking[M] ∥Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science. Cham: Springer, 2018, 11206: 493- 509.

[14] 林彬, 李映. 基于高置信度更新策略的高速相关滤波跟踪算法[J]. 光学学报, 2019, 39(4): 0415003.

    Lin B, Li Y. High-speed correlation filter tracking algorithm based on high-confidence updating strategy[J]. Acta Optica Sinica, 2019, 39(4): 0415003.

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

[16] KristanM, LeonardisA, MatasJ, et al. The visual object tracking VOT2016 challenge results[M] ∥Hua G, Jégou H. Computer vision workshops-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9914: 777- 823.

[17] DanelljanM, BhatG, Khan FS, et al. ECO: efficient convolution operators for tracking[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 6931- 6939.

[18] DanelljanM, RobinsonA, Khan FS, 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] Galoogahi HK, FaggA, LuceyS. Learning background-aware correlation filters for visual tracking[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 2017: 1144- 1152.

[20] 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.