[1] Guo Y C, Cao J L, Han Y Y et al. Spectral matching dimensionality reduction and feature fusion for hyperspectral target tracking[J]. Acta Optica Sinica, 43, 2012002(2023).

[2] Hui G C, Li K F, Xin M et al. Tracking algorithm based on video pedestrian recognition and spatio-temporal feature fusion[J]. Laser & Optoelectronics Progress, 59, 1215004(2022).

[3] Liu M, Zhao F, Yin J L et al. Reinforcement-tracking: an effective trajectory tracking and navigation method for autonomous urban driving[J]. IEEE Transactions on Intelligent Transportation Systems, 23, 6991-7007(2022).

[4] Wu J, Ma X H. UAV infrared target tracking algorithm based on feature fusion and channel awareness[J]. Laser & Infrared, 53, 626-632(2023).

[5] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters[C], 2544-2550(2010).

[6] Zhang Z S, Song Y, Yang X et al. Target tracking of three-branch network based on dynamic feature attention model[J]. Acta Optica Sinica, 42, 1515001(2022).

[7] Wang H T, Deng M L, Zhao W J et al. Survey on single object tracking algorithms based on deep learning[J]. Computer Systems and Applications, 31, 40-51(2022).

[8] Li B, Yan J J, Wu W et al. High performance visual tracking with Siamese region proposal network[C], 8971-8980(2018).

[9] Li B, Wu W, Wang Q et al. SiamRPN++: evolution of Siamese visual tracking with very deep networks[EB/OL]. https://arxiv.org/abs/1812.11703

[10] Tang F, Ling Q. Ranking-based Siamese visual tracking[C], 8731-8740(2022).

[11] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[12] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[13] Li P, Chen B, Ouyang W et al. Gradnet: gradient-guided network for visual object tracking[EB/OL]. https://arxiv.org/abs/1909.06800

[14] Yan B, Peng H W, Fu J L et al. Learning spatio-temporal transformer for visual tracking[EB/OL]. https://arxiv.org/abs/2103.17154

[15] Dosovitskiy A, Beyer L, Kolesnikov A et al. An image is worth 16×16 words: transformers for image recognition at scale[EB/OL]. https://arxiv.org/abs/2010.11929

[16] Kristan M, Matas J, Leonardis A et al. The seventh visual object tracking VOT 2019 challenge results[C], 2206-2241(2020).

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

[18] Wang M M, Liu Y, Huang Z Y. Large margin object tracking with circulant feature maps[EB/OL]. https://arxiv.org/abs/1703.05020

[19] Lin T Y, Maire M, Belongie S et al. Microsoft COCO: common objects in context[EB/OL]. https://arxiv.org/abs/1405.0312

[20] Russakovsky O, Deng J, Su H et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 115, 211-252(2015).

[21] Real E, Shlens J, Mazzocchi S et al. YouTube-BoundingBoxes: a large high-precision human-annotated data set for object detection in video[EB/OL]. https://arxiv.org/abs/1702.00824