[4] FU Z, CHANG Z, YONG H, et al. Foreground gated network for surveillance object detection[C]//2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018: 1-7.

[5] Danelljan M, Hager G, Khan F S, et al. Learning spatially regularized correlation filters for visual tracking[C]// IEEE International Conference on Computer Vision, 2015: 4310-4318.

[6] Bolme D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptive correlation filters[C]//The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2010: 13-18.

[7] Henriques J F, Rui C, Martins P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//Proceedings of the 12th European Conference on Computer Vision, 2012: 702-715.

[8] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[C]//IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37: 583-596.

[9] Danelljan M, H.ger G, Khan F S, et al. Accurate scale estimation for robust visual tracking[C]//British Machine Vision Conference, 2014(65): 1-11.

[10] Danelljan M, H.ger G, Khan F S, et al. Discriminative scale space tracking[C]//IEEE Transactions on Pattern Analysis and Machine Intelligence,2017, 39(8): 1561-1575.

[11] Bochkovskiy A, WANG C Y, LIAO H. YOLOv4: optimal speed and accuracy of object detection[J/OL]. Computer Vision and Pattern Recognition, arXiv:2004.10934. https://arxiv.org/abs/2004.10934.

[12] Felzenszwalb P F, Girshick R B, Mc Allester D, et al. Object detection with discriminatively trained part-based models[C]//IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32: 1627-1645.

[13] WU Y, LIM J, YANG M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37: 1834-1848.