[1] 侯志强, 韩崇昭. 视觉跟踪技术综述[J]. 自动化学报, 2006, 32(4): 603-617.

    Hou Z Q, Han C Z. A survey of visual tracking[J]. Acta Automatica Sinica, 2006, 32(4): 603-617.

[2] 王艳川, 黄海, 李邵梅, 等. 基于在线检测和尺度自适应的相关滤波跟踪[J]. 光学学报, 2018, 38(2): 0215002.

    Wang Y C, Huang H, Li S M, et al. Correlation filter tracking based on online detection and scale-adaption[J]. Acta Optica Sinica, 2018, 38(2): 0215002.

[3] Hare S, Golodetz S, Saffari A, et al. Struck: structured output tracking with kernels[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(10): 2096-2109.

[4] YaoR, ShiQ, ShenC, et al. Part-based visual tracking with online latent structural learning[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, Oregon. New York: IEEE, 2013: 2363- 2370.

[5] Zhang K H, Zhang L, Yang M H. Fast compressive tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(10): 2002-2015.

[6] 宋日成, 何小海, 王正勇. 基于方向可靠性的互补跟踪算法[J]. 光学学报, 2018, 38(10): 1015001.

    Song R C, He X H, Wang Z Y. Complementary object tracking based on directional reliability[J]. Acta Optica Sinica, 2018, 38(10): 1015001.

[7] Nithin K, Bremond F. Globality-locality-based consistent discriminant feature ensemble for multicamera tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(3): 431-440.

[8] Cong Y, Fan B J, Liu J, et al. Speeded up low-rank online metric learning for object tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2015, 25(6): 922-934.

[9] Bolme DS, 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.

[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, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2014: 1090- 1097.

[11] 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.

[12] BertinettoL, ValmadreJ, GolodetzS, et al. Staple: complementary learners for real-time tracking[C]∥IEEE Conference on Computer Vision and Pattern Recognition, June 26-July 1, 2016, Las Vegas, Nevada. New York: IEEE, 2016: 1401- 1409.

[13] 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, 2017: 1387- 1395.

[14] 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. Heidelberg: Springer, 2012, 7575: 702- 715.

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

[16] Sevilla-LaraL, Learned-MillerE. Distribution fields for tracking[C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 2012: 1910- 1917.

[17] Zhang KH, ZhangL, Yang MH. Real-time compressive tracking[M] ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision - ECCV 2012. Lecture notes in computer science. Heidelberg: Springer, 2012, 7574: 864- 877.