A survey on online learning for visual tracking

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Fully-Convolutional Siamese Networks for Object Tracking

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Visual object tracking using adaptive correlation filters

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Object Tracking Benchmark

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Tracking-Learning-Detection

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High Performance Visual Tracking with Siamese Region Proposal Network

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Region-based convolutional networks for accurate object detection and segmentation

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ECO: Efficient Convolution Operators for Tracking

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Exploiting the Circulant Structure of Tracking-by-Detection with Kernels

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Learning Spatially Regularized Correlation Filters for Visual Tracking

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Accurate Scale Estimation for Robust Visual Tracking

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Advances in Neural Information Processing Systems 18

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Visual tracking with online Multiple Instance Learning

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Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

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Struck: Structured output tracking with kernels

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Staple: Complementary Learners for Real-Time Tracking

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Hierarchical Convolutional Features for Visual Tracking

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Fast Online Object Tracking and Segmentation: A Unifying Approach

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Adaptive Color Attributes for Real-Time Visual Tracking

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Visual Tracking: An Experimental Survey

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A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration

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Discriminative Scale Space Tracking

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Online selection of discriminative tracking features

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Siamese Instance Search for Tracking

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Visual tracking via adaptive structural local sparse appearance model

Jia, X., Lu, H., & Yang, M. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247880 · Cited by 1,200 · see citing works

Learning to Track at 100 FPS with Deep Regression Networks

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Visual tracking decomposition

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Deeper and Wider Siamese Networks for Real-Time Visual Tracking

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MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

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Learning Dynamic Siamese Network for Visual Object Tracking

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Joint CTC-attention based end-to-end speech recognition using multi-task learning

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Robust Visual Tracking and Vehicle Classification via Sparse Representation

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The template update problem

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Visual tracking and recognition using appearance-adaptive models in particle filters

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Triplet Loss in Siamese Network for Object Tracking

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Visual tracking with online Multiple Instance Learning

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Traffic monitoring and accident detection at intersections

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Deep visual tracking: Review and experimental comparison

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Unveiling the Power of Deep Tracking

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Discriminative Correlation Filter Tracker with Channel and Spatial Reliability

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Robust tracking using local sparse appearance model and K-selection

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STAT: Spatial-Temporal Attention Mechanism for Video Captioning

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Tracking by Sampling Trackers

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End-to-End Flow Correlation Tracking with Spatial-Temporal Attention

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Ensemble Tracking

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Fast and automatic video object segmentation and tracking for content-based applications

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Incremental Learning for Visual Tracking

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Multi-channel Correlation Filters

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Robust online appearance models for visual tracking

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Deep neural networks employing Multi-Task Learning and stacked bottleneck features for speech synthesis

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Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers

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Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization

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Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling

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Online learning of robust object detectors during unstable tracking

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Cross-Modality Bridging and Knowledge Transferring for Image Understanding

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Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking

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Re$^3$: Re al-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

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Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation

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Visual tracking via incremental Log-Euclidean Riemannian subspace learning

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Online Selecting Discriminative Tracking Features Using Particle Filter

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Robust Visual Tracking Based on Incremental Tensor Subspace Learning

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Adaptive Probabilistic Visual Tracking with Incremental Subspace Update

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A comprehensive review of recent advances on deep vision systems

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Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking

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Pedestrian Detection and Tracking for Counting Applications in Crowded Situations

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Adaptive color space switching for face tracking in multi-colored lighting environments

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Adaptive Discriminative Generative Model and Its Applications

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Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A SurveyPreprint

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Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation

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Vision-based real-time traffic accident detection

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Real-time visual tracking via Incremental Covariance Tensor Learning

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Graph Based Discriminative Learning for Robust and Efficient Object Tracking

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Semi-supervised boosting using visual similarity learning

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Object tracking via appearance modeling and sparse representation

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Adaptive Object Tracking by Learning Hybrid Template Online

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Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS

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Shape constrained figure-ground segmentation and tracking

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Object tracking using incremental 2D-LDA learning and Bayes inference

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A software for performance evaluation and comparison of people detection and tracking methods in video processing

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HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs

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Survey of single‐target visual tracking methods based on online learning

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Realtime Visual Tracking of Aircrafts

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Intelligent Collaborative Tracking by Mining Auxiliary Objects

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Efficient object tracking using hierarchical convolutional features model and correlation filters

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