SCRM: self-correlated representation model for visual tracking

[1]  Tao Zhang,et al.  Graph-structured multitask sparsity model for visual tracking , 2019, Inf. Sci..

[2]  Keqin Li,et al.  Visual tracking via context-aware local sparse appearance model , 2018, J. Vis. Commun. Image Represent..

[3]  Chao Xu,et al.  Robust Visual Tracking via Multi-Scale Spatio-Temporal Context Learning , 2018, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  Laith Mohammad Abualigah,et al.  A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis , 2018, Eng. Appl. Artif. Intell..

[5]  Essam Said Hanandeh,et al.  Hybrid clustering analysis using improved krill herd algorithm , 2018, Applied Intelligence.

[6]  Laith Mohammad Abualigah,et al.  A new feature selection method to improve the document clustering using particle swarm optimization algorithm , 2017, J. Comput. Sci..

[7]  Xiaohui Yuan,et al.  Inverse Sparse Group Lasso Model for Robust Object Tracking , 2017, IEEE Transactions on Multimedia.

[8]  Vibhav Vineet,et al.  Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Qinghua Hu,et al.  A Self-Representation Induced Classifier , 2016, IJCAI.

[10]  Ke Lu,et al.  $p$-Laplacian Regularized Sparse Coding for Human Activity Recognition , 2016, IEEE Transactions on Industrial Electronics.

[11]  Huchuan Lu,et al.  Sparse Hashing Tracking , 2016, IEEE Transactions on Image Processing.

[12]  Meng Wang,et al.  An Efficient Tracking System by Orthogonalized Templates , 2016, IEEE Transactions on Industrial Electronics.

[13]  David Zhang,et al.  Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[14]  Ming-Hsuan Yang,et al.  Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Zhibin Hong,et al.  Robust Multitask Multiview Tracking in Videos , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Simon C. K. Shiu,et al.  Unsupervised feature selection by regularized self-representation , 2015, Pattern Recognit..

[17]  Alberto Del Bimbo,et al.  Object Tracking by Oversampling Local Features , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Vincent Lepetit,et al.  On the relevance of sparsity for image classification , 2014, Comput. Vis. Image Underst..

[19]  Huchuan Lu,et al.  L2-RLS-Based Object Tracking , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[20]  Huchuan Lu,et al.  Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[21]  Laura Sevilla-Lara,et al.  Distribution fields for tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[22]  Ying Wu,et al.  Decomposing and regularizing sparse/non-sparse components for motion field estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Haibin Ling,et al.  Real time robust L1 tracker using accelerated proximal gradient approach , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  Lei Zhang,et al.  Sparse representation or collaborative representation: Which helps face recognition? , 2011, 2011 International Conference on Computer Vision.

[25]  Haibin Ling,et al.  Robust Visual Tracking and Vehicle Classification via Sparse Representation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Li Bai,et al.  Minimum error bounded efficient ℓ1 tracker with occlusion detection , 2011, CVPR 2011.

[27]  Chunhua Shen,et al.  Real-time visual tracking using compressive sensing , 2011, CVPR 2011.

[28]  Junseok Kwon,et al.  Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[29]  Gang Hua,et al.  Context-Aware Visual Tracking , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Serge J. Belongie,et al.  Visual tracking with online Multiple Instance Learning , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[31]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[32]  Horst Bischof,et al.  Semi-supervised On-Line Boosting for Robust Tracking , 2008, ECCV.

[33]  Ming-Hsuan Yang,et al.  Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.

[34]  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).

[35]  Shai Avidan,et al.  Ensemble Tracking , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  Yanxi Liu,et al.  Online selection of discriminative tracking features , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[37]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[38]  Nanning Zheng,et al.  Multi-Timescale Collaborative Tracking , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[39]  Ming-Hsuan Yang,et al.  Robust Visual Tracking Via Consistent Low-Rank Sparse Learning , 2014, International Journal of Computer Vision.

[40]  Narendra Ahuja,et al.  Robust Visual Tracking via Structured Multi-Task Sparse Learning , 2012, International Journal of Computer Vision.

[41]  Ming-Hsuan Yang,et al.  Ieee Transaction on Pattern Analysis and Machine Intelligence 1 Fast Compressive Tracking , 2022 .