http://blog.csdn.net/minstyrain/article/details/38640541
这个应该是目前最全的Tracking相关的文章了,转载请注明出处。一、Surveyand benchmark: 1. PAMI2014:VisualTracking_ An Experimental Survey,代码:http://alov300pp./trackers-resource.html 2. CVPR2013:Online Object Tracking: A Benchmark(需翻墙) 3. SignalProcessing 2011:Video Tracking Theory andPractice 4. ACCV2006:Tutorials-Advances in VisualTracking:中文:视觉跟踪的进展 5. Evaluationof an online learning approach for robust object tracking
二、研究团体: 1. Universityof California at Merced:Ming-HsuanYang视觉跟踪当之无愧第一人,后面的人基本上都和气其有合作关系,他引近9000 PublicationsPAMI:6,CVPR:26,ECCV:17,BMCV:6,NIPS:6,IJCV:3,ACCV:3 代表作:RobustVisual Tracking via Consistent Low-Rank Sparse Learning FCT,IJCV2014:FastCompressive Tracking RST,PAMI2014:RobustSuperpixel Tracking; SPT,ICCV2011, Superpixeltracking SVD,TIP2014:LearningStructured Visual Dictionary for Object Tracking ECCV2014: SpatiotemporalBackground Subtraction Using Minimum Spanning Tree and Optical Flow PAMI2011:RobustObject Tracking with Online Multiple Instance Learning MIT,CVPR2009: Visualtracking with online multiple instance learning IJCV2008: IncrementalLearning for Robust Visual Tracking
2. SeoulNational University Professor:KyoungMuLee2013年在PAMI上发表5篇,至今无人能及 文献列表PAMI:13,CVPR:30,ECCV:12,ICCV:8,PR:4 PAMI2014:A GeometricParticle Filter for Template-Based Visual Tracking ECCV2014: Robust Visual Tracking with Double Bounding Box Model PAMI2013:HighlyNonrigid Object Tracking via Patch-based Dynamic Appearance Modeling CVPR2014: Interval Tracker: Tracking by Interval Analysis CVPR2013: MinimumUncertainty Gap for Robust Visual Tracking CVPR2012:RobustVisual Tracking using Autoregressive Hidden Markov Model VTS,ICCV2011:Tracking by Sampling Trackers. VTD,CVPR2010: VisualTracking Decomposition TST,ICCV2011:Tracking by sampling trackers 3. TempleUniversity,凌海滨 Publication List PMAI:4,CVPR:19,ICCV:17,ECCV:5,TIP:9 CVPR2014:Multi-targetTracking with Motion Context in Tenor Power Iteration ECCV2014:TransferLearning Based Visual Tracking with Gaussian Process Regression ICCV2013:Findingthe Best from the Second Bests - Inhibiting Subjective Bias in Evaluation ofVisual Tracking Algorithms CVPR2013: Multi-targetTracking by Rank-1 Tensor Approximation CVPR2012:RealTime Robust L1 Tracker Using Accelerated Proximal Gradient Approach TIP2012: Real-timeProbabilistic Covariance Tracking with Efficient Model Update ICCV2011: BlurredTarget Tracking by Blur-driven Tracker PAMI2011ICCV2009: RobustVisual Tracking and Vehicle Classification via Sparse Representation ICCV2011:RobustVisual Tracking using L1 Minimization L1O,CVPR2011: Minimumerror bounded efficient l1 tracker with occlusion detection L1T, ICCV2009:Robustvisual tracking using l1 minimization 4. HongKong Polytechnic University AssociateProfessor: Lei Zhang PapersPAMI:2,CVPR:18,ICCV:14,ECCV:12,ICPR:6,PR:28,TIP:4 STC,ECCV2014: FastTracking via Dense Spatio-Temporal Context Learning FCT,PAMI2014,ECCV2012:Fast CompressiveTracking, Minghsuan Yang IETComputer Vision2012:Scale and Orientation Adaptive Mean Shift Tracking IJPRAI2009:RobustObject Tracking using Joint Color-Texture Histogram 5. 大连理工大学教授 卢湖川国内追踪领域第一人 CVPR2014:VisualTracking via Probability Continuous Outlier Model TIP2014:VisualTracking via Discriminative Sparse Similarity Map TIP2014: RobustSuperpixel Tracking TIP2014: RobustObject Tracking via Sparse Collaborative Appearance Model CVPR2013: LeastSoft-threshold Squares Tracking, MinghsuanYang TIP2013:Online Object Trackingwith Sparse Prototypes, Minghsuan Yang SignalProcessing Letters2013: Graph-RegularizedSaliency Detection With Convex-Hull-Based Center Prior SignalProcessing2013: On-line LearningParts-based Representation via Incremental Orthogonal Projective Non-negativeMatrix Factorization CVPR2012:RobustObject Tracking viaSparsity-based Collaborative Model, MinghsuanYang CVPR2012:VisualTracking via Adaptive Structural Local Sparse Appearance Model, MinghsuanYang SignalProcessing Letters 2012:Object tracking via 2DPCA and L1-regularization IETImage Processing 2012:Visual Tracking via Bag of Features ICPR2012:Superpixel Level Object Recognition Under Local Learning Framework ICPR2012: Fragment-BasedTracking Using Online Multiple Kernel Learning ICPR2012: ObjectTracking Based On Local Learning ICPR2012: ObjectTracking with L2_RLS ICPR2011:ComplementaryVisual Tracking FG2011:OnlineMultiple Support Instance Tracking SignalProcessing2010: A novel methodfor gaze tracking by local pattern model and support vector regressor ACCV2010: OnFeature Combination and Multiple Kernel Learning for Object Tracking ACCV: RobustTracking Based on Pixel-wise Spatial Pyramid and Biased Fusion ACCV2010: HumanTracking by Multiple Kernel Boosting with Locality Affinity Constraints ICCV2011:SuperpixelTracking, Minghsuan Yang ICPR2010: RobustTracking Based on Boosted Color Soft Segmentation and ICA-R ICPR2010: IncrementalMPCA for Color Object Tracking ICPR2010: Bagof Features Tracking ICPR2008: GazeTracking By Binocular Vision and LBP Features 6. 南京信息工程大学教授,KaiHua Zhang 7. OregonstateProfessor,Sinisa Todorovic由视频分割转向Tracking CSL,CVPR2014: Multi-ObjectTracking via Constrained Sequential Labeling CVPR2011:MultiobjectTracking as Maximum Weight Independent Set 8. GrazUniversity of Technology, Austria,Horst Possegger博士 CVPR2014:OcclusionGeodesics for Online Multi-Object Tracking CVPR2013: RobustReal-Time Tracking of Multiple Objects by Volumetric Mass Densities 9. 马里兰大学Zdenek Kalal博士 TLD,PAMI2011: Tracking-Learning-Detection TIP2010: Face-TLD:Tracking-Learning-Detection Applied to Faces ICPR2010:Forward-BackwardError: Automatic Detection of Tracking Failures CVPR2010: P-N Learning:Bootstrapping Binary Classifiers by Structural Constraints BMVC2008: Weighted Sampling forLarge-Scale Boosting 中文讲解: TLD(Tracking-Learning-Detection)学习与源码理解
三、其他早期工作: CamShift算法,OpenCV实现1--Back Projection 目标跟踪学习笔记_2(particle filter初探1) 目标跟踪学习笔记_3(particle filter初探2) 目标跟踪学习笔记_4(particle filter初探3) 目标跟踪学习系列一:on-line boosting and vision阅读 |
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