JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (3): 14-22.doi: 10.6040/j.issn.1672-3961.0.2015.316
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WANG Haijun1,2, GE Hongjuan1, ZHANG Shengyan2
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[1] 袁广林, 薛模根. 基于疏度约束与动态组结构稀疏编码的鲁棒视觉跟踪[J]. 电子学报, 2015, 43(8):1499-1505. YUAN Guanglin, XUE Mogen. Sparsity-constrained and dynamic group structured spasre coding for robust visual tracking[J]. Acta Electronica Sinica, 2015, 43(8):1499-1505. [2] 王海军, 张圣燕. 基于L2范数和增量正交投影非负矩阵分解的目标跟踪算法[J]. 黑龙江大学自然科学学报, 2015, 32(2):262-269. WANG Haijun, ZHANG Shengyan. Object tracking algorithm via L2 norm and incremental orthogonal projective non-negative matrix factorization[J]. Journal of Natural Science of Heilongjiang University, 2015, 32(2):262-269. [3] 王海军, 葛红娟, 张圣燕. 在线低秩表示的目标跟踪算法[J]. 西安电子科技大学学报(自然科学版), 2016, 43(5):112-118. WANG Haijun, GE Hongjuan, ZHANG Shengyan. Object tracking via online low rank representation[J]. Journal of Xidian University(Natural Science), 2016, 43(5):112-118. [4] WANG D, LU H C. Fast and robust object tracking via probability continuous outlier model[J]. IEEE Transactions on Image Processing, 2015, 24(12):5166-5176. [5] WANG D, LU H C, BO CH J. Visual tracking via weighted local cosine similarity[J]. IEEE Transactions On Systems, Man, and Cybernetics Part B, 2015, 45(9):1838-1850. [6] ZHANG K H, ZHANG L, YANG M H. Fast compressive tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(10):2002-2015. [7] ZHANG K H, ZHANG L, YANG M H, et al. Robust object tracking via active feature selection[J]. IEEE Transactions. Circuits and Systems for Video Technology, 2013, 23(11):1957-1967. [8] ZHANG K H, ZHANG L, YANG M H. Real-time object tracking via online discriminative feature selection[J]. IEEE Transactions on Image Processing, 2013, 22(12):4664-4677. [9] YANG F, LU H C, YANG M S. Robust superpixel tracking[J]. IEEE Transactions on Image Processing, 2014, 23(4):1639-1651. [10] LIU R S, BAI S S, SU Z X, el al. Robust visual tracking via L0 regularized local low-rank feature learning[J]. Journal of Electronic Imaging, 2015, 24(3):033012. [11] WANG D, LU H C. Online visual tracking via two view sparse representation[J]. IEEE Signal Processing Letters, 2014, 21(9):1031-1034. [12] ZHUANG B H, LU H C, XIAO Z Y, et al. Visual tracking via discriminative sparse similarity map[J]. IEEE Transactions on Image Processing, 2014, 23(4):1872-1881. [13] WANG D, LU H C, XIAO Z Y, et al. Inverse sparse tracker with a locally weighted distance metric[J]. IEEE Transactions on Image Processing, 2015, 24(9):2646-2657. [14] ROSS D, LIM J, LIN R S, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 77(1-3):125-141. [15] XUE M, LING H B. Robust visual tracking using L1 minimization[C] //Proceedings of the IEEE Computer Society Conference on Computer Vision. Kyoto, Japan:IEEE Computer Society, 2009:1436-1443. [16] BAO C L, WU Y, LING H B, et al. Real time robust L1 tracker using accelerated proximal gradient approach[C] //Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Providence, Rhode Island, USA:IEEE Computer Society, 2012:1830-1837. [17] WANG D, LU H C, YANG M H. Online object tracking with sparse prototypes[J]. IEEE Transactions on Image Processing, 2013, 22(1):314-325. [18] ADAM A, RIVLIN, E. Robust fragments-based tracking using the integral histogram[C] //Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, USA:IEEE Computer Society, 2006:798-805. [19] KWON J, LEE K M. Visual tracking decomposition[C] //Proceedings of the IEEE computer society conference on computer vision and pattern recognition. San Francisco, USA:IEEE Computer Society, 2010:1269-1276. [20] ZHANG T Z, GHANEM B, LIU S. Robust visual tracking via multi-task sparse learning[C] //Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Providence, Rhode Island, USA:IEEE Computer Society, 2012:2042-2049. |
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