[1] [1]罗元, 肖航, 欧俊雄基于深度学习的目标跟踪技术的研究综述半导体光电2020416757LUOYuan, XIAOHang, OUJunxiongResearch on target tracking technology based on deep learningSemiconductor Optoelectronics2020416757
[2] [2]周立君, 刘宇, 白璐, 等使用TensorRT进行深度学习推理应用光学202041233734110.5768/JAO202041.0202007ZHOULijun, LIUYu, BAILu, et alUsing TensorRT for deep learning and inference applicationsJournal of Applied Optics202041233734110.5768/JAO202041.0202007
[3] J F HENRIQUES, R CASEIRO, P MARTINS et al. High-speed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 583-596(2015).
[4] M DANLLJAN, G HAGER, F S KHAN et al. Discriminative scale space tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).
[5] [5]侯志强, 王帅, 余旺盛, 等融合检测机制的鲁棒相关滤波视觉跟踪算法应用光学201940579580410.5768/JAO201940.0502002HOUZhingqiang, WANGShuai, YUWangsheng, et alFusion detection mechanism of robust correlation filtering visual tracking algorithmJournal of Applied Optics201940579580410.5768/JAO201940.0502002
[6] BERTITO L, VALMADRE J, HENRIQUES J F, et al. Fullyconvolutional siamese wks f object tracking[C]European conference on computer vision. Switzerl: Springer, 2016: 850865.
[7] LI B, YAN J J, WU W, et al. High perfmance visual tracking with Siamese region proposal wk[C]Proceedings of the IEEE conference on computer vision pattern recognition. Piscataway, NJ: IEEE, 2018: 89718980.
[8] S REN, K HE, R GIRSHICK et al. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2016).
[9] JIANG B R, LUO R X, MAO J Y, et al. Acquisition of localization confidence f accurate object detection [C]2018 European conference on computer vision. Switzerl: Springer, 2018: 816832.
[10] BHAT G, DANLLJAN M, GOOL L V, et al. Learning discriminative model prediction f tracking[C]Proceedings of the IEEE international conference on computer vision. Seoul, Kea (South): IEEE, 2019: 61816190.
[11] MULLER M, BIBI A, GIANCOLA S, et al. A largescale dataset benchmark f object tracking in the wild[C]Proceedings of 201815th european conference on computer vision, Part I. Munich, Germany: Springer, 2018: 310327.
[12] FAN H, LIN L T, YANG F, et al. Lasot: a highquality benchmark f largescale single object tracking[C]IEEE conference on computer vision pattern recognition. Piscataway, NJ: IEEE, 2019: 53745383.
[13] L H HUANG, X ZHAO, K Q HUANG. Got-10 k: A large high-diversity benchmark for generic object tracking in the wild. arXiv Preprint arXiv, 1810, 11981(2018).
[14] LIN T Y, MAIRE M, BELONGIE S, et al. Microsoft COCO: common objects in context[C]European conference on computer vision. Switzerl: Springer, 2014: 740755.
[15] DENG J, DONG W, SOCHER R, et al. Image: A largescale hierarchical image database[C]IEEE conference on computer vision pattern recognition. NJ: IEEE, 2009: 248255.
[16] LIU Z, LI J, SHEN Z, et al. Learning efficient convolutional wks through wk slimming[C]IEEE international conference on computer vision. NJ: IEEE, 2017: 27362744.
