Visual Tracking via Temporally Smooth Sparse Coding
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[1] Larry A. Wasserman,et al. A Comparison of the Lasso and Marginal Regression , 2012, J. Mach. Learn. Res..
[2] Haibin Ling,et al. Robust visual tracking using ℓ1 minimization , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[3] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Gérard G. Medioni,et al. Context tracker: Exploring supporters and distracters in unconstrained environments , 2011, CVPR 2011.
[5] Gang Wang,et al. Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Huchuan Lu,et al. Visual Tracking via Discriminative Sparse Similarity Map , 2014, IEEE Transactions on Image Processing.
[7] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[8] Bin Shen,et al. Online robust image alignment via iterative convex optimization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Krishnakumar Balasubramanian,et al. Smooth sparse coding via marginal regression for learning sparse representations , 2012, Artif. Intell..
[10] Luc Van Gool,et al. Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[11] W Y Zhang,et al. Discussion on `Sure independence screening for ultra-high dimensional feature space' by Fan, J and Lv, J. , 2008 .
[12] Haibin Ling,et al. Real time robust L1 tracker using accelerated proximal gradient approach , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Jianqing Fan,et al. Sure independence screening for ultrahigh dimensional feature space , 2006, math/0612857.
[14] Robert T. Collins,et al. Mean-shift blob tracking through scale space , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[16] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[17] Huchuan Lu,et al. Online Visual Tracking via Two View Sparse Representation , 2014, IEEE Signal Processing Letters.
[18] Huchuan Lu,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Online Object Tracking with Sparse Prototypes , 2022 .
[19] Gang Wang,et al. Tracklet Association with Online Target-Specific Metric Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[21] Junseok Kwon,et al. Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] Jingdong Wang,et al. Online Robust Non-negative Dictionary Learning for Visual Tracking , 2013, 2013 IEEE International Conference on Computer Vision.
[23] Laura Sevilla-Lara,et al. Distribution fields for tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Huchuan Lu,et al. Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Ming Tang,et al. Object Tracking via Robust Multitask Sparse Representation , 2014, IEEE Signal Processing Letters.
[26] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[27] Lei Zhang,et al. Real-Time Compressive Tracking , 2012, ECCV.
[28] Jiri Matas,et al. P-N learning: Bootstrapping binary classifiers by structural constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Haibin Ling,et al. Robust Visual Tracking using 1 Minimization , 2009 .
[30] Patrick Pérez,et al. Color-Based Probabilistic Tracking , 2002, ECCV.
[31] Narendra Ahuja,et al. Robust Visual Tracking via Structured Multi-Task Sparse Learning , 2012, International Journal of Computer Vision.
[32] Qing Wang,et al. Transferring Visual Prior for Online Object Tracking , 2012, IEEE Transactions on Image Processing.
[33] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Gang Wang,et al. Human Identity and Gender Recognition From Gait Sequences With Arbitrary Walking Directions , 2014, IEEE Transactions on Information Forensics and Security.
[35] Ehud Rivlin,et al. Robust Fragments-based Tracking using the Integral Histogram , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[36] Yuefeng Ji,et al. Kernel Based Multiple Cue Adaptive Appearance Model For Robust Real-time Visual Tracking , 2013, IEEE Signal Processing Letters.
[37] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[38] Shai Avidan,et al. Locally Orderless Tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Li Bai,et al. Minimum error bounded efficient ℓ1 tracker with occlusion detection , 2011, CVPR 2011.
[40] Shengping Zhang,et al. Sparse coding based visual tracking: Review and experimental comparison , 2013, Pattern Recognit..
[41] Shuicheng Yan,et al. Robust Object Tracking with Online Multi-lifespan Dictionary Learning , 2013, 2013 IEEE International Conference on Computer Vision.
[42] Huchuan Lu,et al. Least Soft-Threshold Squares Tracking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[44] Huchuan Lu,et al. Robust object tracking via sparsity-based collaborative model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.