[1] WuY, LimJ, Yang MH. Online object tracking: a benchmark[C]. 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, 2013: 2411- 2418.

[2] 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.

[3] 张旭光, 张云, 王艳宁, 等. 基于遗忘因子与卡尔曼滤波的协方差跟踪[J]. 光学学报, 2010, 30(8): 2317-2323.

    Zhang X G, Zhang Y, Wang Y N. Covariance tracking based on forgetting factor and Kalman filter[J]. Acta Optica Sinica, 2010, 30(8): 2317-2323.

[4] Vojir T, Noskova J, Matas J. Robust scale-adaptive mean-shift for tracking[J]. Pattern Recognition Letters, 2014, 49: 250-258.

[5] 刘威, 赵文杰, 李成. 时空上下文学习长时目标跟踪[J]. 光学学报, 2016, 36(1): 0115001.

    LiuW, Zhao WJ, LiC. Long-term visual tracking based on spatio-temporal context[J]. Acta Optica Sinica, 2016( 1): 0115001.

[6] 蔡玉柱, 杨德东, 毛宁, 等. 基于自适应卷积特征的目标跟踪算法[J]. 光学学报, 2017, 37(3): 0315002.

    Cai Y Z, Yang D D, Mao N, et al. Visual tracking algorithm based on adaptive convolutional features[J]. Acta Optica Sinica, 2017, 37(3): 0315002.

[7] Bolme DS, Beveridge JR, Draper BA, et al. Visual object tracking using adaptive correlation filters[C]. 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, 2010: 2544- 2550.

[8] Henriques JF, CaseiroR, MartinsP, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer Vision-ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, Berlin, Heidelberg: Springer, 2012, 7575: 715- 720.

[9] 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.

[10] DanelljanM, Khan FS, FelsbergM, et al. Adaptive color attributes for real-time visual tracking[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 2014: 1090- 1097.

[11] DanelljanM, HägerG, Khan FS, et al.Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference,Guildford: BMVA Press, 2014: 1- 11.

[12] 许莉, 王敏, 温月, . 基于. Lab 颜色空间的运动目标检测[J]. 华中科技大学学报(自然科学版), 2013, 41(s1): 219-222.

    Xu L, Wang M, Wen Y. Moving object detection using LAB color space[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2013, 41(s1): 219-222.

[13] 徐玉龙, 王家宝, 李阳, 等. 融合颜色特征的尺度自适应相关跟踪[J]. 计算机应用研究, 2017, 34(3): 945-948.

    Xu Y L, Wang J B, Li Y, et al. Scale adaptive correlation tracking combined with color features[J]. Application Research of Computers, 2017, 34(3): 945-948.

[14] 李双双, 赵高鹏, 王建宇. 基于特征融合和尺度自适应的干扰感知目标跟踪[J]. 光学学报, 2017, 37(5): 0515005.

    Li S S, Zhao G P, Wang J Y. Distractor-aware object tracking based on multi-feature fusion and scale-adaption[J]. Acta Optica Sinica, 2017, 37(5): 0515005.

[15] Everingham M, Gool L V. Williams C K I, et al. The pascal visual object classes (voc) challenge[J]. International Journal of Computer Vision, 2010, 88(2): 303-338.

[16] LiY, Zhu JK, Hoi S C H. Reliable patch trackers: robust visual tracking by exploiting reliable patches[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA, 2015: 353- 361.

[17] LiY, Zhu JK. A scale adaptive kernel correlation filter tracker with feature integration[C]∥Agapito L, Bronstein M, Rother C. Computer Vision-ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science, Cham: Springer, 2014, 8926: 254- 265.

[18] GaoJ, LingH, HuW, et al. Transfer learning based visual tracking with Gaussian processes regression[C]∥Fleet D, Pajdla T, Schiele B, et al. Computer Vision-ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, Cham: Springer, 2014, 8691: 188- 203.