Recent advances and trends in visual tracking: A review
暂无分享,去创建一个
Ling Shao | Zhan Song | Feng Zheng | Liang Wang | Hanxuan Yang | Hanxuan Yang | L. Shao | Feng Zheng | Liang Wang | Zhan Song | Ling Shao
[1] Ling Shao,et al. Transform based spatio-temporal descriptors for human action recognition , 2011, Neurocomputing.
[2] Zhan Song,et al. An Incremental PCA-HOG Descriptor for Robust Visual Hand Tracking , 2010, ISVC.
[3] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[4] Luc Van Gool,et al. Cascaded Confidence Filtering for Improved Tracking-by-Detection , 2010, ECCV.
[5] Ying Wu,et al. Discriminative Spatial Attention for Robust Tracking , 2010, ECCV.
[6] Matti Pietikäinen,et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, TPAMI-2008-09-0620 1 WLD: A Robust Local Image Descriptor , 2022 .
[7] Jiri Matas,et al. Forward-Backward Error: Automatic Detection of Tracking Failures , 2010, 2010 20th International Conference on Pattern Recognition.
[8] Ling Shao,et al. A descriptor combining MHI and PCOG for human motion classification , 2010, CIVR '10.
[9] Ling Shao,et al. Feature detector and descriptor evaluation in human action recognition , 2010, CIVR '10.
[10] Horst Bischof,et al. PROST: Parallel robust online simple tracking , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Horst Bischof,et al. On-line semi-supervised multiple-instance boosting , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Avinash C. Kak,et al. Computer Vision and Pattern Recognition 2010 A Probabilistic Framework for Joint Segmentation and Tracking , 2022 .
[13] Philippe C. Cattin,et al. Tracking the invisible: Learning where the object might be , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Thomas Deselaers,et al. What is an object? , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[15] Junseok Kwon,et al. Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Vincent Lepetit,et al. Fast Keypoint Recognition Using Random Ferns , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Xiaoyang Tan,et al. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions , 2007, IEEE Transactions on Image Processing.
[18] Xuelong Li,et al. Incremental learning of weighted tensor subspace for visual tracking , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.
[19] Christoph H. Lampert,et al. Efficient Subwindow Search: A Branch and Bound Framework for Object Localization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Xiaoqin Zhang,et al. A Smarter Particle Filter , 2009, ACCV.
[21] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[22] Hanqing Lu,et al. Real-time visual tracking via Incremental Covariance Tensor Learning , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[23] Andrew Zisserman,et al. Multiple kernels for object detection , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[24] Larry S. Davis,et al. Human detection using partial least squares analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[26] Jiri Matas,et al. Online learning of robust object detectors during unstable tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[27] Charless C. Fowlkes,et al. Discriminative Models for Multi-Class Object Layout , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[28] Horst Bischof,et al. On-line Random Forests , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[29] Larry S. Davis,et al. Incremental Multiple Kernel Learning for object recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[30] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[31] Serge J. Belongie,et al. Visual tracking with online Multiple Instance Learning , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[32] H. Grabner,et al. Classifier grids for robust adaptive object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[33] S. Shan,et al. Sigma Set: A small second order statistical region descriptor , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Kyoung Mu Lee,et al. Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Kyoung Mu Lee,et al. Visual tracking via geometric particle filtering on the affine group with optimal importance functions , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Chang Huang,et al. Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Robert T. Collins,et al. Shape constrained figure-ground segmentation and tracking , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Wei Gao,et al. Adaptive Contour Features in oriented granular space for human detection and segmentation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Juergen Gall,et al. Class-specific Hough forests for object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Wen Gao,et al. Granularity-tunable gradients partition (GGP) descriptors for human detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Alexei A. Efros,et al. An empirical study of context in object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Meng Wang,et al. Unified Video Annotation via Multigraph Learning , 2009, IEEE Transactions on Circuits and Systems for Video Technology.
[43] Meng Wang,et al. Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation , 2009, IEEE Transactions on Multimedia.
[44] Wen Gao,et al. Contour-motion feature (CMF): A space-time approach for robust pedestrian detection , 2009, Pattern Recognit. Lett..
[45] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[46] Daniel Cremers,et al. Anisotropic Huber-L1 Optical Flow , 2009, BMVC.
[47] Gertjan J. Burghouts,et al. Performance evaluation of local colour invariants , 2009, Comput. Vis. Image Underst..
[48] Luc Van Gool,et al. Robust tracking-by-detection using a detector confidence particle filter , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[49] Wen Gao,et al. Object tracking using incremental 2D-LDA learning and Bayes inference , 2008, 2008 15th IEEE International Conference on Image Processing.
[50] Andrew Blake,et al. Efficiently Combining Contour and Texture Cues for Object Recognition , 2008, BMVC.
[51] Xiaoqin Zhang,et al. SVD based Kalman particle filter for robust visual tracking , 2008, 2008 19th International Conference on Pattern Recognition.
[52] Horst Bischof,et al. Semi-supervised On-Line Boosting for Robust Tracking , 2008, ECCV.
[53] Junseok Kwon,et al. Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation , 2008, ECCV.
[54] Luc Van Gool,et al. An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector , 2008, ECCV.
[55] Ramakant Nevatia,et al. Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context , 2008, ECCV.
[56] Ramakant Nevatia,et al. Robust Object Tracking by Hierarchical Association of Detection Responses , 2008, ECCV.
[57] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[58] Shuicheng Yan,et al. Discriminative local binary patterns for human detection in personal album , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Xiaoqin Zhang,et al. Visual tracking via incremental Log-Euclidean Riemannian subspace learning , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[60] Feng Han,et al. Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[61] Xuelong Li,et al. Enhanced biologically inspired model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[62] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[63] Ramakant Nevatia,et al. Global data association for multi-object tracking using network flows , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[64] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[65] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[66] Ramakant Nevatia,et al. Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[67] Yuan Li,et al. Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[68] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[69] Larry S. Davis,et al. Hierarchical Part-Template Matching for Human Detection and Segmentation , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[70] Xiaoqin Zhang,et al. Robust Visual Tracking Based on Incremental Tensor Subspace Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[71] Xiaoqin Zhang,et al. Graph Based Discriminative Learning for Robust and Efficient Object Tracking , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[72] Weiwei Zhang,et al. On-Line Ensemble SVM for Robust Object Tracking , 2007, ACCV.
[73] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[74] Björn Stenger,et al. Tracking Using Online Feature Selection and a Local Generative Model , 2007, BMVC.
[75] Shengcai Liao,et al. Learning Multi-scale Block Local Binary Patterns for Face Recognition , 2007, ICB.
[76] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[77] Horst Bischof,et al. Eigenboosting: Combining Discriminative and Generative Information , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[78] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[79] Ming Yang,et al. Spatial selection for attentional visual tracking , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[80] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[81] Stephen J. McKenna,et al. Tracking human motion using auxiliary particle filters and iterated likelihood weighting , 2007, Image Vis. Comput..
[82] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[83] Shai Avidan,et al. Ensemble Tracking , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[84] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[85] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[86] M. Shah,et al. Object tracking: A survey , 2006, CSUR.
[87] Aly A. Farag,et al. CSIFT: A SIFT Descriptor with Color Invariant Characteristics , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[88] Mei-Chen Yeh,et al. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[89] 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).
[90] Horst Bischof,et al. On-line Boosting and Vision , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[91] Ming Yang,et al. Intelligent Collaborative Tracking by Mining Auxiliary Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[92] Frank Dellaert,et al. A Rao-Blackwellized Parts-Constellation Tracker , 2006, WDV.
[93] Luc Van Gool,et al. Object Detection by Contour Segment Networks , 2006, ECCV.
[94] Joost van de Weijer,et al. Color Feature Detection: An Overview , 2006 .
[95] Joost van de Weijer,et al. Boosting color saliency in image feature detection , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[96] Horst Bischof,et al. Real-Time Tracking via On-line Boosting , 2006, BMVC.
[97] Frank Dellaert,et al. MCMC-based particle filtering for tracking a variable number of interacting targets , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[98] Ramakant Nevatia,et al. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[99] Martial Hebert,et al. Efficient visual event detection using volumetric features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[100] Wen Gao,et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[101] Antonio Criminisi,et al. Object categorization by learned universal visual dictionary , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[102] Wen Gao,et al. Online selecting discriminative tracking features using particle filter , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[103] Bernt Schiele,et al. Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[104] Jean-Marc Odobez,et al. Using particles to track varying numbers of interacting people , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[105] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[106] David J. Kriegman,et al. Online learning of probabilistic appearance manifolds for video-based recognition and tracking , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[107] Yanxi Liu,et al. Online selection of discriminative tracking features , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[108] Rama Chellappa,et al. Visual tracking and recognition using appearance-adaptive models in particle filters , 2004, IEEE Transactions on Image Processing.
[109] Takahiro Ishikawa,et al. The template update problem , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[110] Cordelia Schmid,et al. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.
[111] Bo Ma,et al. Unscented Kalman filter for visual curve tracking , 2004, Image Vis. Comput..
[112] Antonio Torralba,et al. Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.
[113] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[114] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[115] Tim Hesterberg,et al. Monte Carlo Strategies in Scientific Computing , 2002, Technometrics.
[116] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[117] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[118] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[119] David J. Fleet,et al. Robust online appearance models for visual tracking , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[120] Jitendra Malik,et al. Geometric blur for template matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[121] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[122] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[123] Dariu Gavrila,et al. Pedestrian Detection from a Moving Vehicle , 2000, ECCV.
[124] 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).
[125] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[126] M. Isard,et al. A Smoothing Filter for CONDENSATION , 1998, ECCV.
[127] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[128] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[129] Y. Bar-Shalom. Tracking and data association , 1988 .
[130] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.