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

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

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

[4] Yao R, Shi Q, Shen C 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, 2363-2370(2013).

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

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

[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, 27, 431-440(2017).

[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, 25, 922-934(2015).

[9] Bolme D S, Beveridge J R, Draper B A 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, 2544-2550(2010).

[10] Danelljan M, Khan F S, Felsberg M 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, 1090-1097(2014).

[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, 37, 583-596(2015).

[12] Bertinetto L, Valmadre J, Golodetz S 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, 1401-1409(2016).

[13] Mueller M, Smith N, Ghanem B. 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, 1387-1395(2017).

[14] Henriques J F, Caseiro R, Martins P 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, 7575, 702-715(2012).

[15] Danelljan M, Häger G, Shahbaz K F 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.(2014).

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

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