CVPR,ECCV,ICCV14-17年视觉目标追踪论文汇总

近三年来计算机数据三大顶会有关单目标视觉追踪的文章汇总

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

个人总结，可能不完整。