[2] Wu Y, Lim J, Yang M H. Online object tracking: a benchmark[C]. //2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA, 2411-2418(2013).
[3] Galoogahi H K, Sim T, Lucey S. Multi-channel correlation filters[C]. //2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia., 3072-3079(2013).
[4] Huang C, Lucey S, Ramanan D. Learning policies for adaptive tracking with deep feature cascades[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 105-114(2017).
[5] 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., 2544-2550(2010).
[6] Shen Y L, Wu Z D, Zhao R J et al. Long-term object tracking based on model updating and fast re-detection[J]. Acta Optica Sinica, 40, 0315002(2020).
[7] 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, 7575, 702-715(2012).
[8] 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).
[9] Possegger H, Mauthner T, Bischof H. In defense of color-based model-free tracking[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 2113-2120(2015).
[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., 1090-1097(2014).
[11] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration[M]. //Agapito L, Bronstein M M, Rother C. Computer vision-ECCV 2014 workshops. Lecture notes in computer science, 8926, 254-265(2015).
[12] 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, 1401-1409(2016).
[13] Shen Q, Yan X L, Liu L F et al. Multi-scale correlation filtering tracker based on adaptive feature selection[J]. Acta Optica Sinica, 37, 0515001(2017).
[14] 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., 4303-4311(2016).
[15] Wang L J, Ouyang W L, Wang X G et al. STCT: sequentially training convolutional networks for visual tracking[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 1373-1381(2016).
[16] 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., 3119-3127(2015).
[17] Hong S, You T, Kwak S et al. Online tracking by learning discriminative saliency map with convolutional neural network[J]. Journal of Machine Learning Research, 597-606(2015).
[18] 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., 3074-3082(2015).
[19] Chen F L, Ding Q H, Chang Z et al. Multi-scale kernel correlation filter algorithm for visual tracking based on the fusion of adaptive features[J]. Acta Optica Sinica, 40, 0315001(2020).
[20] Wang H Y, Wang L, Yin W R et al. Multi-scale correlation filtering visual tracking algorithm combined with target detection[J]. Acta Optica Sinica, 39, 0115004(2019).
[21] Danelljan M, Robinson A, Khan F S 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. Lecture notes in computer science, 9909, 472-488(2016).
[22] 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, USA, 6931-6939(2017).
[23] Bhat G, Johnander J, Danelljan M et al. Unveiling the power of deep tracking[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11206, 493-509(2018).
[24] Danelljan M, Häger G, Shahbaz Khan F et al. Accurate scale estimation for robust visual tracking[J]. Proceedings of the British Machine Vision Conference 2014, 65.1-65.11(2014).
[25] Danelljan M, Häger G, Khan F S et al. Discriminative scale space tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).
[26] Danelljan M, Häger 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., 4310-4318(2015).
[27] 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., 1387-1395(2017).
[28] Ma C, Yang X K, Zhang C Y et al. Long-term correlation tracking[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 5388-5396(2015).
[29] 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, 9914, 850-865(2016).
[30] Li Y, Zhu J K, Hoi S C H. Reliable patch trackers: robust visual tracking by exploiting reliable patches[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA, 353-361(2015).
