[1] CHEN B, CAO J W, PARRA A et al. Satellite pose estimation with deep landmark regression and nonlinear pose refinement[C], 2816-2824(2019).

[2] You S, Zhu H, Li M et al. A Review of Visual Trackers and Analysis of its Application to Mobile Robot[webpage](2019).

[3] LI B, WU W, WANG Q et al. SiamRPN++： evolution of Siamese visual tracking with very deep networks[C], 4277-4286(2019).

[4] MARVASTI-ZADEH S M, CHENG L, GHANEI-YAKHDAN H et al. Deep learning for visual tracking： a comprehensive survey[J]. IEEE Transactions on Intelligent Transportation Systems, 1-26(6478).

[5] ZOU Z X, SHI Z W, GUO Y H et al. Object detection in 20 years： a survey[webpage]. arXiv, 2019.

[6] [6] 6赵浩光， 王平， 董超， 等. 结合多尺度视觉显著性的舰船目标检测［J］. 光学 精密工程， 2020， 28（6）： 1395-1403. doi: 10.3788/OPE.20202806.1395ZHAOH G， WANGP， DONGCH， et al. Ship detection based on the multi-scale visual saliency model［J］. Opt. Precision Eng.， 2020， 28（6）： 1395-1403.（in Chinese）. doi: 10.3788/OPE.20202806.1395

[7] [7] 7谷雨， 刘俊， 沈宏海， 等. 基于改进多尺度分形特征的红外图像弱小目标检测［J］. 光学 精密工程， 2020， 28（6）： 1375-1386. doi: 10.3788/ope.20202806.1375GUY， LIUJ， SHENH H， et al. Infrared dim-small target detection based on an improved multiscale fractal feature［J］. Opt. Precision Eng.， 2020， 28（6）： 1375-1386.（in Chinese）. doi: 10.3788/ope.20202806.1375

[8] [8] 8王建林， 付雪松， 黄展超， 等. 改进YOLOv2卷积神经网络的多类型合作目标检测［J］. 光学 精密工程， 2020， 28（1）： 251-260. doi: 10.3788/ope.20202801.0251WANGJ L， FUX S， HUANGZH CH， et al. Multi-type cooperative targets detection using improved YOLOv2 convolutional neural network［J］. Opt. Precision Eng.， 2020， 28（1）： 251-260.（in Chinese）. doi: 10.3788/ope.20202801.0251

[9] BAR-SHALOM Y, FORTMANN T E, CABLE P G. Tracking and data association[J]. The Journal of the Acoustical Society of America, 87, 918-919(1990).

[10] COMANICIU D, MEER P. Mean shift： a robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 603-619(2002).

[11] HARE S, GOLODETZ S, SAFFARI A et al. Struck： structured output tracking with kernels[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2096-2109(2016).

[12] KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1409-1422(2012).

[13] BOLME D S, BEVERIDGE J R, DRAPER B A et al. Visual object tracking using adaptive correlation filters[C], 2544-2550(2010).

[14] 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).

[15] DANELLJAN M, HÄGER G, KHAN F S et al. Learning spatially regularized correlation filters for visual tracking[C], 4310-4318(2015).

[16] HONG S, YOU T, KWAK S et al. Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network[C], 597-606(2015).

[17] BERTINETTO L, VALMADRE J, HENRIQUES J F et al. Fully-convolutional Siamese networks for object tracking[C], 850-865(2016).

[18] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[19] HUANG L H, ZHAO X, HUANG K Q. GOT-10k： a large high-diversity benchmark for generic object tracking in the wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 1562-1577(2021).