CVPR,ECCV,ICCV14-17年視覺目標追蹤論文彙總

近三年來計算機數據三大頂會有關單目標視覺追蹤的文章彙總
2017CVPR
CVPR-17-1-Superpixel-Based Tracking-By-Segmentation Using Markov Chain
CVPR-17-2-BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks
CVPR-17-3-Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
CVPR-17-4-Context-Aware Correlation Filter Tracking
CVPR-17-5-Large Margin Object Tracking With Circulant Feature Maps
CVPR-17-6-Multi-Task Correlation Particle Filter for Robust Object Tracking
CVPR-17-7-Attentional Correlation Filter Network for Adaptive Visual Tracking
CVPR-17-8-End-To-End Representation Learning for Correlation Filter Based Tracking
CVPR-17-9-Robust Visual Tracking Using Oblique Random Forests
CVPR-17-10-ECO: Efficient Convolution Operators for Tracking
CVPR-17-11-SANet Structure-Aware Network for Visual Tracking
2017ICCV
ICCV-17-1-Learning Policies for Adaptive Tracking With Deep Feature Cascades
ICCV-17-2-Learning Background-Aware Correlation Filters for Visual Tracking
ICCV-17-3-Robust Object Tracking Based on Temporal and Spatial Deep Networks
ICCV-17-4-Learning Dynamic Siamese Network for Visual Object Tracking
ICCV-17-5-CREST: Convolutional Residual Learning for Visual Tracking
ICCV-17-6-Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking
ICCV-17-7-Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
ICCV-17-8-Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets
2016CVPR
CVPR-16-1-Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals.
CVPR-16-2-STCT: Sequentially Training Convolutional Networks for Visual Tracking
CVPR-16-3-Staple: Complementary Learners for Real-Time Tracking
CVPR-16-4-Siamese Instance Search for Tracking
CVPR-16-5-Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking
CVPR-16-6-Recurrently Target-Attending Tracking
CVPR-16-7-In Defense of Sparse Tracking: Circulant Sparse Tracker
CVPR-16-8-Object Tracking via Dual Linear Structured SVM and Explicit Feature Map
CVPR-16-9-Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
CVPR-16-10-Hedged Deep Tracking.
CVPR-16-11-Structural Correlation Filter for Robust Visual Tracking
CVPR-16-12-Visual Tracking Using Attention-Modulated Disintegration and Integration
CVPR-16-13-Adaptive Decontamination of the Training Set：A Unified Formulation for Discriminative Visual Tracking
2016ECCV
ECCV-16-1-Cascaded Continuous Regression for Real-time Incremental Face Tracking
ECCV-16-2-Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning
ECCV-16-3-Target Response Adaptation for Correlation Filter Tracking
ECCV-16-4-Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
ECCV-16-5-Distractor-supported single target tracking in extremely cluttered scenes
ECCV-16-6-Tracking Persons-of-Interest via Adaptive Discriminative Features
2015CVPR
CVPR-15-1-Structural Sparse Tracking
CVPR-15-2-An Efficient Volumetric Framework for Shape Tracking
CVPR-15-3-DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time
CVPR-15-4-Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches
CVPR-15-5-MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking
CVPR-15-6-In Defense of Color-Based Model-Free Tracking
CVPR-15-7-JOTS: Joint Online Tracking and Segmentation
CVPR-15-8-Joint Vanishing Point Extraction and Tracking
CVPR-15-9-Clustering of Static-Adaptive Correspondences for Deformable Object Tracking
CVPR-15-10-Fast and Robust Hand Tracking Using Detection-Guided Optimization
CVPR-15-11-Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters
CVPR-15-12-Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models
CVPR-15-13-Multihypothesis Trajectory Analysis for Robust Visual Tracking
CVPR-15-14-Long-Term Correlation Tracking
2015ICCV
ICCV-15-1-Discriminative Low-Rank Tracking
ICCV-15-2-SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking
ICCV-15-3-Multi-Kernel Correlation Filter for Visual Tracking
ICCV-15-4-Tracking-by-Segmentation With Online Gradient Boosting Decision Tree
ICCV-15-5-Exploring Causal Relationships in Visual Object Tracking
ICCV-15-6-Hierarchical Convolutional Features for Visual Tracking
ICCV-15-7-Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L0 Regularization
ICCV-15-8-Online Object Tracking With Proposal Selection
ICCV-15-9-Understanding and Diagnosing Visual Tracking Systems
ICCV-15-10-Visual Tracking With Fully Convolutional Networks
ICCV-15-11-Multiple Feature Fusion via Weighted Entropy for Visual Tracking
ICCV-15-12-Local Subspace Collaborative Tracking
ICCV-15-13-Learning Spatially Regularized Correlation Filters for Visual Tracking
ICCV-15-14-TRIC-track: Tracking by Regression With Incrementally Learned Cascades
ICCV-15-15-Learning to Divide and Conquer for Online Multi-Target Tracking
ICCV-15-16-Linearization to Nonlinear Learning for Visual Tracking
2014CVPR
CVPR-14-1-Tracking indistinguishable translucent objects over time using weakly supervised structured learning
CVPR-14-2-Adaptive Color Attributes for Real-Time Visual Tracking
CVPR-14-3-Interval Tracker: Tracking by Interval Analysis
CVPR-14-4-Persistent Tracking for Wide Area Aerial Surveillance
CVPR-14-5-Visual Tracking via Probability Continuous Outlier Model
CVPR-14-6-Better Feature Tracking Through Subspace Constraints
CVPR-14-7-Unifying Spatial and Attribute Selection for Distracter-resilient Tracking
CVPR-14-8-Visual Tracking Using Pertinent Patch Selection and Masking
CVPR-14-9-Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform
CVPR-14-10-Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints
CVPR-14-11-Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction
CVPR-14-12-Partial Occlusion Handling for Visual Tracking via Robust Part Matching
CVPR-14-13-Human Shape and Pose Tracking Using Keyframes
CVPR-14-14-Speeding Up Tracking by Ignoring Feature
CVPR-14-15-Curvilinear Structure Tracking by Low Rank Tensor Approximation with Propagation
CVPR-14-16-Adaptive Color Attributes for Real-Time Visual Tracking Model
2014ECCV
ECCV-14-1-Tracking using Multilevel Quantizations
ECCV-14-2-A Superior Tracking Approach: Building a strong Tracker through Fusion
ECCV-14-3-Fast Visual Tracking via Dense Spatio-Temporal Context Learning
ECCV-14-4-Description-Discrimination Collaborative Tracking
ECCV-14-5-Transfer Learning Based Visual Tracking with Gaussian Process Regression
ECCV-14-6-Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians
ECCV-14-7-Robust Visual Tracking with Double Bounding Box Model
ECCV-14-9-Visual Tracking by Sampling Tree-Structured Graphical Models
ECCV-14-10-Online Graph-Based Tracking
ECCV-14-11-MEEM: Robust Tracking via Multiple Experts using Entropy Minimization
ECCV-14-12-Extended Lucas-Kanade Tracking
ECCV-14-13-Online, Real-Time Tracking using a Category-to-Individual Detector
ECCV-14-14-Occlusing and Motion Reasoning for Long-term Tracking
ECCV-14-15-Tracking Interacting Objects Optimally Using Integer Programming
ECCV-14-16-A Scale Adaptive Kernel Correlation Filter
個人總結，可能不完整。