[1] 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).

[2] 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).

[3] Yang D D, Cai Y Z, Mao N et al. Long-term object tracking based on kernelized correlation filters[J]. Optics and Precision Engineering, 24, 2037-2049(2016).

[4] Yang D D, Mao N, Yang F C et al. Improved SRDCF object tracking via the best-buddies similarity[J]. Optics and Precision Engineering, 26, 492-502(2018).

[5] Zhang L, Wang Y J, Sun H H et al. Adaptive scale object tracking with kernelized correlation filters[J]. Optics and Precision Engineering, 24, 448-459(2016).

[6] 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).

[7] Ma C, Huang J B, Yang X K et al. Hierarchical convolutional features for visual tracking. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3074-3082(2015).

[8] Ma C, Huang J B, Yang X K et al. -08-11)[2019-10-12]. https:∥arxiv.org/abs/1707.03816v1.(2018).

[9] Wang X, Hou Z Q, Yu W S et al. Target scale adaptive robust tracking based on fusion of multilayer convolutional features[J]. Acta Optica Sinica, 37, 1115005(2017).

[10] Danelljan M, Hager G, Khan F S et al. Convolutional features for correlation filter based visual tracking. [C]∥2015 IEEE International Conference on Computer Vision Workshop (ICCVW), December 7-13, 2015, Santiago, Chile. New York: IEEE, 621-629(2015).

[11] Danelljan M, Robinson A, Shahbaz K F 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. Cham: Springer, 472-488(2016).

[12] Danelljan M, Bhat G, Khan F S 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. New York: IEEE, 6931-6939(2017).

[13] Xiong C Z, Che M Q, Wang R L et al. Robust real-time visual tracking via dual model adaptive switching[J]. Acta Optica Sinica, 38, 1015002(2018).

[14] Gundogdu E. -03-10)[2019-10-12]. https:∥arxiv., org/abs/1704, 06326(2018).

[15] Simonyan K. -04-10)[2019-10-12]. https:∥arxiv., org/abs/1409, 1556(2015).

[16] Galoogahi H K, Sim T, Lucey S. Correlation filters with limited boundaries. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4630-4638(2015).

[17] Danelljan M, Hager G, Khan F S et al. Discriminative scale space tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).

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

[19] Gundogdu E, Alatan A A. Good features to correlate for visual tracking[J]. IEEE Transactions on Image Processing, 27, 2526-2540(2018).

[20] He Z Q, Fan Y R, Zhuang J F et al. Correlation filters with weighted convolution responses. [C]∥2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy. New York: IEEE, 1992-2000(2017).

[21] Sun C, Lu H C. -04-24)[2020-01-01]. https:∥arxiv.org/abs/1706.07457v1.(2018).

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

[23] Wang M M, Liu Y, Huang Z Y. 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. New York: IEEE, 4800-4808(2017).

[24] Wang X Y, Li H X, Li Y et al. Robust and real-time deep tracking via multi-scale domain adaptation. [C]∥2017 IEEE International Conference on Multimedia and Expo (ICME), July 10-14, 2017, Hong Kong, China. New York: IEEE, 1338-1343(2017).

[25] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4293-4302(2016).