[1] Huang K Q, Chen X T, Kang Y F et al. Intelligent visual surveillance: a review[J]. Chinese Journal of Computers, 38, 1093-1118(2015).

[2] Zhu W Q, Liu Y, Bian L et al. Survey on object tracking method base on generative model[J]. Microprocessors, 38, 41-47(2017).

[3] Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using Mean shift[C], 142-149(2000).

[4] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1409-1422(2012).

[5] Kalal Z, Matas J, Mikolajczyk K. Online learning of robust object detectors during unstable tracking[C], 1417-1424(2009).

[6] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 749-765(2016).

[7] Danelljan M, Robinson A, Shahbaz Khan 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. Lecture notes in computer science, 9909, 472-488(2016).

[8] Hou Z Q, Chen L L, Yu W S et al. Robust visual tracking algorithm based on Siamese network with dual templates[J]. Journal of Electronics & Information Technology, 41, 2247-2255(2019).

[9] Chen K, Tao W B. Once for all: a two-flow convolutional neural network for visual tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 28, 3377-3386(2018).

[10] Li B, Wu W, Wang Q et al. SiamRPN: evolution of Siamese visual tracking with very deep networks[C], 4277-4286(2019).

[11] Yu D, Wang Y N, Mao J X et al. Vision-based object tracking method of mobile robot[J]. Chinese Journal of Scientific Instrument, 40, 227-235(2019).

[12] Chen A H, Meng B, Zhu M et al. Multi-pattern fusion algorithm for target tracking[J]. Optics and Precision Engineering, 17, 185-190(2009).

[13] Bibi A, Mueller M, Ghanem B. Target response adaptation for correlation filter tracking[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9910, 419-433(2016).

[14] Liu Z D, Dong L Q, Zhao Y J et al. Adaptive model tracking algorithm for fast-moving targets in video[J]. Acta Optica Sinica, 41, 1815001(2021).

[15] Ji Y F, He C J, Sun X Y et al. Object tracking based on adaptive feature fusion and context-aware[J]. Laser & Optoelectronics Progress, 58, 1610011(2021).

[16] Huang S L, Hong J X. Moving object tracking system based on camshift and Kalman filter[C], 1423-1426(2011).

[17] Niu Y F, Bo X C, Shen L C. A forward looking object tracking algorithm based on deformable template[J]. Journal of National University of Defense Technology, 25, 80-84(2003).

[18] Latecki L J, Miezianko R. Object tracking with dynamic template update and occlusion detection[C], 556-560(2006).

[19] Oron S, Bar-Hillel A, Levi D et al. Locally orderless tracking[C], 1940-1947(2012).

[20] Masazade E, Fardad M, Varshney P K. Sparsity-promoting extended Kalman filtering for target tracking in wireless sensor networks[J]. IEEE Signal Processing Letters, 19, 845-848(2012).

[21] Zhu B, Chang L B, Xu J N et al. Huber-based adaptive unscented Kalman filter with non-Gaussian measurement noise[J]. Circuits, Systems, and Signal Processing, 37, 3842-3861(2018).

[22] 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).