基于稀疏表示多子模板的鲁棒目标跟踪算法
[2] He Y, Li M, Zhang J, et al. Infrared target tracking based on robust low-rank sparse learning [J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(2): 232-236.
[3] Hager G D, Dewan M, Stewart C V. Multiple kernel tracking with SSD[C]//Proceedings of ICCV, 2004: 790-797.
[4] Adam A, Rivlin E, Shimshoni I. Robust fragments-based tracking using the integral histogram[C]//Proceedings of CVPR, 2006: 798-805.
[5] Bins J, Dihl L L, Jung C R. Target tracking using multiple patches and weighted vector median filters[J]. Journal of Mathematical Imaging & Vision, 2013, 45(3): 293-307.
[6] Nejhum S M, Ho J, Yang M H. Online visual tracking with histograms and articulating blocks[C]//Proceedings of CVPR, 2008: 1-8.
[7] Yao R, Shi Q, Shen C, et al. Part-based robust tracking using online latent structured learning[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(6): 1235-1248.
[8] Mei X, Ling H. Robust visual tracking using l1 minimization[C]//Proceedings of ICCV, 2009: 1436-1443.
[9] Wright J, Yang A, Ganesh A, et al. Robust face recognition via sparse representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2): 1-18.
[10] Wang Huigai, Li Zhengzhou, Gu Yuanshan, et al. Dim target detection method based on muti-scale adaptive sparse dictionary[J]. Infrared and Laser Engineering, 2014, 43(7): 2371-2378. (in Chinese)
[11] Comaniciu D, Meer P. Mean Shift: A robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2002, 24(5): 603-619.
卢瑞涛, 任世杰, 申璐榕, 杨小冈. 基于稀疏表示多子模板的鲁棒目标跟踪算法[J]. 红外与激光工程, 2019, 48(3): 0326003. Lu Ruitao, Ren Shijie, Shen Lurong, Yang Xiaogang. Robust template patches-based object tracking with sparse representation[J]. Infrared and Laser Engineering, 2019, 48(3): 0326003.