[1] 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, 37, 0515005(2017).

[2] Li Z D, Zhong Y, Chen M et al. Fast face image retrieval based on depth feature[J]. Acta Optica Sinica, 38, 1010004(2018).

[3] Bertinetto L, Valmadre J, Henriques J F et al. Fully-convolutional Siamese networks for object tracking[M]. //Hua G, Jégou H. Computer vision-ECCV 2016 workshops. Lecture notes in computer science. Cham: Springer, 9914, 850-865(2016).

[4] Valmadre J, Bertinetto L, Henriques J et al. End-to-end representation learning for correlation filter based tracking. [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2805-2813(2017).

[5] Guo Q, Feng W, Zhou C et al. Learning dynamic Siamese network for visual object tracking. [C]//2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 1763-1771(2017).

[6] Wang Q, Teng Z, Xing J L et al. Learning attentions: residual attentional Siamese network for high performance online visual tracking. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT. New York: IEEE, 4854-4863(2018).

[7] He A F, Luo C, Tian X M et al. A twofold Siamese network for real-time object tracking. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 4834-4843(2018).

[8] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017). http://dl.acm.org/citation.cfm?id=2999257

[9] He K M, Zhang X Y, Ren S Q 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, 770-778(2016).

[10] Wu Y, Lim J, Yang M H. Online object tracking: a benchmark. [C]//2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2013, Portland, OR, USA. New York: IEEE, 2411-2418(2013).

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

[12] Wang Q, Gao J, Xing J et al. -04-13)[2019-03-15], org/abs/1704, 04057(2017). https://arxiv.

[13] Hong Z B, Chen Z, Wang C H et al. MUlti-store tracker (MUSTer): a cognitive psychology inspired approach to object tracking. [C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 749-758(2015).

[14] Wang L J, Ouyang W L, Wang X G et al. Visual tracking with fully convolutional networks. [C]//2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3119-3127(2015).

[15] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]//2014 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

[16] Tao R, Gavves E. Smeulders A W M. Siamese instance search for tracking. [C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 1420-1429(2016).

[17] Danelljan M, Hager G, Khan F S 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, 4310-4318(2015).

[18] Zhang J M, Ma S G, Sclaroff S. MEEM: robust tracking via multiple experts using entropy minimization[M]. //Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8694, 188-203(2014).

[19] 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, 58-66(2015).

[20] Qi Y K, Zhang S P, Qin L et al. Hedged deep tracking. [C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4303-4311(2016).

[21] 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).