一、Surveyand benchmark:
1. PAMI2014:VisualTracking_ An Experimental Survey,代碼:http://alov300pp.joomlafree.it/trackers-resource.html
2. CVPR2013:Online Object Tracking: A Benchmark(需翻牆)
3. SignalProcessing 2011:Video Tracking Theory andPractice
4. ACCV2006:Tutorials-Advances in VisualTracking:中文:視覺跟蹤的進展
5. Evaluationof an online learning approach for robust object tracking
二、研究團體:
1. Universityof California at Merced:Ming-HsuanYang視覺跟蹤當之無愧第一人,後面的人基本上都和氣其有合作關係,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上發表5篇,至今無人能及
文獻列表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,凌海濱
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. 大連理工大學教授 盧湖川國內追蹤領域第一人
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. 南京信息工程大學教授,KaiHua Zhang
7. OregonstateProfessor,Sinisa Todorovic由視頻分割轉向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. 馬里蘭大學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
中文講解:
TLD(Tracking-Learning-Detection)學習與源碼理解
三、其他早期工作:
CamShift算法,OpenCV實現1--Back Projection
目標跟蹤學習筆記_2(particle filter初探1)
目標跟蹤學習筆記_3(particle filter初探2)
目標跟蹤學習筆記_4(particle filter初探3)
目標跟蹤學習系列一:on-line boosting and vision 閱讀