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Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471221279openalex-snapshot
Estimation with Applications to Tracking and Navigation
inferredcites →https://doi.org/10.1007/3-540-47969-4_44openalex-snapshot
Color-Based Probabilistic Tracking
inferredcites →https://doi.org/10.1007/s11263-007-0075-7openalex-snapshot
Incremental Learning for Robust Visual Tracking
inferredcites →https://doi.org/10.1016/j.cviu.2010.04.002openalex-snapshot
Online visual tracking with histograms and articulating blocks
inferredcites →https://doi.org/10.1016/j.patcog.2008.06.001openalex-snapshot
Piecewise affine kernel tracking for non-planar targets
inferredcites →https://doi.org/10.1016/j.patcog.2009.01.002openalex-snapshot
A local-motion-based probabilistic model for visual tracking
inferredcites →https://doi.org/10.1016/j.patcog.2011.03.019openalex-snapshot
Multivariate online kernel density estimation with Gaussian kernels
inferredcites →https://doi.org/10.1016/s0377-2217(96)00385-2openalex-snapshot
Optimization of computer simulation models with rare events
inferredcites →https://doi.org/10.1109/cvpr.2004.1315112openalex-snapshot
Multiple kernel tracking with SSD
inferredcites →https://doi.org/10.1109/cvpr.2004.345openalex-snapshot
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
inferredcites →https://doi.org/10.1109/cvpr.2006.256openalex-snapshot
Robust Fragments-based Tracking using the Integral Histogram
inferredcites →https://doi.org/10.1109/cvpr.2006.94openalex-snapshot
Covariance Tracking using Model Update Based on Lie Algebra
inferredcites →https://doi.org/10.1109/cvpr.2007.383237openalex-snapshot
On-the-fly Object Modeling while Tracking
inferredcites →https://doi.org/10.1109/cvpr.2009.5206502openalex-snapshot
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling
inferredcites →https://doi.org/10.1109/cvpr.2009.5206634openalex-snapshot
Learning to track with multiple observers
inferredcites →https://doi.org/10.1109/cvpr.2010.5539821openalex-snapshot
Visual tracking decomposition
inferredcites →https://doi.org/10.1109/cvpr.2010.5540231openalex-snapshot
P-N learning: Bootstrapping binary classifiers by structural constraints
inferredcites →https://doi.org/10.1109/iccv.2007.4408856openalex-snapshot
Semi-supervised Discriminant Analysis
inferredcites →https://doi.org/10.1109/iccv.2007.4408955openalex-snapshot
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
inferredcites →https://doi.org/10.1109/iccv.2011.6126228openalex-snapshot
Hough-based tracking of non-rigid objects
inferredcites →https://doi.org/10.1109/iccv.2011.6126390openalex-snapshot
An adaptive coupled-layer visual model for robust visual tracking
inferredcites →https://doi.org/10.1109/iccvw.2009.5457445openalex-snapshot
Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition
inferredcites →https://doi.org/10.1109/taes.2003.1261132openalex-snapshot
Survey of maneuvering targettracking . part I: dynamic models
inferredcites →https://doi.org/10.1109/tpami.2005.205openalex-snapshot
Online selection of discriminative tracking features
inferredcites →https://doi.org/10.1109/tpami.2007.1034openalex-snapshot
Multiple Collaborative Kernel Tracking
inferredcites →https://doi.org/10.1109/tpami.2010.226openalex-snapshot
Robust Object Tracking with Online Multiple Instance Learning
inferredcites →https://doi.org/10.1109/tsmcb.2008.2005417openalex-snapshot
Tracking by Parts: A Bayesian Approach With Component Collaboration
inferredcites →https://doi.org/10.1115/1.3662552openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1117/12.895965openalex-snapshot
An experimental comparison of online object-tracking algorithms
inferredcites →https://doi.org/10.5244/c.20.38openalex-snapshot
Tracking using Flocks of Features, with Application to Assisted Handwashing
inferredcites →https://doi.org/10.5244/c.20.6openalex-snapshot
Real-Time Tracking via On-line Boosting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The Sixth Visual Object Tracking VOT2018 Challenge Results
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An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
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Tracking-by-Trackers with a Distilled and Reinforced Model
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Fast Visual Tracking via Dense Spatio-temporal Context Learning
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The Visual Object Tracking VOT2014 Challenge Results
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Exploiting Contextual Motion Cues for Visual Object Tracking
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Clustering Local Motion Estimates for Robust and Efficient Object Tracking
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2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion
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The Visual Object Tracking VOT2016 Challenge Results
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Measuring the Accuracy of Object Detectors and Trackers
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A survey of datasets for visual tracking
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Multiscale salient region-based visual tracking
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Collaborative tracking based on contextual information and local patches
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Part-based visual tracking with spatially regularized correlation filters
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A neuro-inspired visual tracking method based on programmable system-on-chip platform
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Visual tracking with conditionally adaptive multiple template update scheme for intricate videos
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Structured fragment-based object tracking using discrimination, uniqueness, and validity selection
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Robust visual tracking via part-based model
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Fuzzy chromatic co-occurrence matrices for tracking objects
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Non-rigid visual object tracking using user-defined marker and Gaussian kernel
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Robust object tracking based on sparse representation and incremental weighted PCA
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Toward situation awareness: a survey on adaptive learning for model-free tracking
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Single target tracking via correlation filter and context adaptively
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Similarity Fusion for Visual Tracking
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Bounding Multiple Gaussians Uncertainty with Application to Object Tracking
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Visual Object Tracking in First Person Vision
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Watch Out: Embedded Video Tracking with BST for Unmanned Aerial Vehicles
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Robust feature learning for online discriminative tracking without large-scale pre-training
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Object tracking based on learning collaborative representation with adaptive weight
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Collaborative Learning based on Convolutional Features and Correlation Filter for Visual Tracking
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CNNTracker: Online discriminative object tracking via deep convolutional neural network
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Collaborative model based UAV tracking via local kernel feature
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Object tracking using learned feature manifolds
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Online adaptive hidden Markov model for multi-tracker fusion
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High-order framewise smoothness-constrained globally-optimal tracking
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Two motion models for improving video object tracking performance
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Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing
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Part-based correlation filter tracking by exploiting the similarity and contribution of reliable parts
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Online Object Tracking, Learning, and Parsing with And-Or Graphs
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Visual Tracking Using Pertinent Patch Selection and Masking
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MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking
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Real-time part-based visual tracking via adaptive correlation filters
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Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models
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Recurrently Target-Attending Tracking
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Structural Correlation Filter for Robust Visual Tracking
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The Matrioska Tracking Algorithm on LTDT2014 Dataset
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SANet: Structure-Aware Network for Visual Tracking
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Deformable and Occluded Object Tracking via Graph Learning
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Visual tracking via local patches and contextual information
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Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms
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Exploring Causal Relationships in Visual Object Tracking
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Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking
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Notice of Removal: The Visual Object Tracking VOT2013 Challenge Results
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An Enhanced Adaptive Coupled-Layer LGTracker++
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Long-Term Tracking through Failure Cases
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The Visual Object Tracking VOT2015 Challenge Results
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Tracker Fusion on VOT Challenge: How Does It Perform and What Can We Learn about Single Trackers?
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The Visual Object Tracking VOT2017 Challenge Results
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The Seventh Visual Object Tracking VOT2019 Challenge Results
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Is First Person Vision Challenging for Object Tracking?
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The Ninth Visual Object Tracking VOT2021 Challenge Results
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Robust visual tracking via discriminative sparse point matching
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Triplet Network with Multi-level Feature Fusion for Object Tracking
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Hybrid structure hypergraph for online deformable object tracking
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Information-Maximizing Sampling to Promote Tracking-By-Detection
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Comparison of General Object Trackers for Hand Tracking in High-Speed Videos
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Deep motion features for visual tracking
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Visual Tracking with Breeding Fireflies using Brightness from Background-Foreground Information
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Tracking handheld object using three layer RGB-D image space
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Tracking vulnerable road users with severe occlusion by adaptive part filter modeling
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Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance
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Memory network for tracking with deep regression
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Robust model adaptation for tracking with online weighted color and shape feature
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On the use of contextual information for robust colour-based particle filter tracking
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Recoverable recommended keypoint-aware visual tracking using coupled-layer appearance modelling
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Continuously Adaptive Data Fusion and Model Relearning for Particle Filter Tracking With Multiple Features
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Tracking Objects with Severe Occlusion by Adaptive Part Filter Modeling - In Traffic Scenes and Beyond
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Enhance tracker's classifier via view morphing
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Visual perception based adaptive feature fusion for visual object tracking
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LGT/VOT tracking performance evaluation of depth images
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Tracker-Level Fusion for Robust Bayesian Visual Tracking
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Transductive People Tracking in Unconstrained Surveillance
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Robust Visual Tracking via Sparse Representation Under Subclass Discriminant Constraint
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Using Discriminative Motion Context for Online Visual Object Tracking
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Tracking With Static and Dynamic Structured Correlation Filters
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Correlation-Based Tracking of Multiple Targets With Hierarchical Layered Structure
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Geometric Hypergraph Learning for Visual Tracking
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Deformable Parts Correlation Filters for Robust Visual Tracking
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Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints
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Weighted Part Context Learning for Visual Tracking
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Texture-Independent Long-Term Tracking Using Virtual Corners
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Visual Object Tracking Performance Measures Revisited
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Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph
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TMAGIC: A Model-Free 3D Tracker
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Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects
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Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition
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Iterative Graph Seeking for Object Tracking
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P2T: Part-to-Target Tracking via Deep Regression Learning
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Deformable Object Tracking With Gated Fusion
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A Collaborative Visual Tracking Architecture for Correlation Filter and Convolutional Neural Network Learning
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A Novel Performance Evaluation Methodology for Single-Target Trackers
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Online Object Tracking, Learning and Parsing with And-Or Graphs
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Gracker: A Graph-Based Planar Object Tracker
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Learning Multi-Task Correlation Particle Filters for Visual Tracking
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Robust Structural Sparse Tracking
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Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking
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Underwater Fish Tracking for Moving Cameras Based on Deformable Multiple Kernels
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VisualVital: An observation model for multiple sections of scenes
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Object detection and tracking in night time video surveillance
inferred← citeshttps://doi.org/10.1109/urai.2014.7057484openalex-snapshot
Object tracking by supported particles
inferred← citeshttps://doi.org/10.1109/wacv.2014.6836055openalex-snapshot
Is my new tracker really better than yours?
inferred← citeshttps://doi.org/10.1109/wacv.2016.7477570openalex-snapshot
Robust visual tracking using template anchors
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00832openalex-snapshot
Tracking Skiers from the Top to the Bottom
inferred← citeshttps://doi.org/10.1111/cgf.15176openalex-snapshot
SketchAnim: Real‐time sketch animation transfer from videos
inferred← citeshttps://doi.org/10.1117/1.jei.26.3.033006openalex-snapshot
Patch-based visual tracking with online representative sample selection
inferred← citeshttps://doi.org/10.1117/1.oe.58.5.053106openalex-snapshot
Scale adaptive part-based tracking method using multiple correlation filters
inferred← citeshttps://doi.org/10.1117/12.2275550openalex-snapshot
Directional ringlet intensity feature transform (DRIFT) based object tracking in IR imagery
inferred← citeshttps://doi.org/10.1117/12.2680164openalex-snapshot
Eliminating illumination influence via Gaussian-based local sensitive histogram
inferred← citeshttps://doi.org/10.1142/s0218001419590456openalex-snapshot
A Tracking Window Adaptive Compressive Tracking Algorithm
inferred← citeshttps://doi.org/10.1145/2683405.2683406openalex-snapshot
A Competitive Attentional Approach to Mitigating Model Drift in Adaptive Visual Tracking
inferred← citeshttps://doi.org/10.1145/3144789.3144802openalex-snapshot
Correlation Filtering Target Tracking Based on Color and Part Spatial Relation Constraints
inferred← citeshttps://doi.org/10.1155/2017/5295601openalex-snapshot
Visual Tracking Based on Complementary Learners with Distractor Handling
inferred← citeshttps://doi.org/10.1155/2017/6329864openalex-snapshot
Convolutional Shallow Features for Performance Improvement of Histogram of Oriented Gradients in Visual Object Tracking
inferred← citeshttps://doi.org/10.1186/s13634-019-0609-5openalex-snapshot
Recurrently exploiting co-saliency of target for part-based visual tracking
inferred← citeshttps://doi.org/10.1186/s13634-019-0638-0openalex-snapshot
Online non-negative discriminative dictionary learning for tracking
inferred← citeshttps://doi.org/10.1201/b18262-33openalex-snapshot
Visual tracking via discriminative random ferns
inferred← citeshttps://doi.org/10.1364/ao.55.006960openalex-snapshot
Oversaturated part-based visual tracking via spatio-temporal context learning
inferred← citeshttps://doi.org/10.1371/journal.pone.0203188openalex-snapshot
Visual object tracking challenges revisited: VOT vs. OTB
inferred← citeshttps://doi.org/10.1587/transinf.2016edp7498openalex-snapshot
3D Tracker-Level Fusion for Robust RGB-D Tracking
inferred← citeshttps://doi.org/10.3233/jifs-152381openalex-snapshot
A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy
inferred← citeshttps://doi.org/10.3390/info9050126openalex-snapshot
Element-Weighted Neutrosophic Correlation Coefficient and Its Application in Improving CAMShift Tracker in RGBD Video
inferred← citeshttps://doi.org/10.3390/technologies9040093openalex-snapshot
Critical Overview of Visual Tracking with Kernel Correlation Filter
inferred← citeshttps://doi.org/10.4018/ijcvip.290397openalex-snapshot
Visual Tracking With Object Center Displacement and CenterNet
inferred← citeshttps://doi.org/10.4304/jcp.9.9.2167-2172openalex-snapshot
A Novel Fragments-based Similarity Measurement Algorithm for Visual Tracking
inferred← citeshttps://doi.org/10.48550/arxiv.1504.06103openalex-snapshot
Online Adaptive Hidden Markov Model for Multi-Tracker Fusion
inferred← citeshttps://doi.org/10.48550/arxiv.1612.06615openalex-snapshot
Deep Motion Features for Visual Tracking
inferred← citeshttps://doi.org/10.48550/arxiv.1805.08511openalex-snapshot
Part-based Tracking by Sampling
inferred← citeshttps://doi.org/10.48550/arxiv.1811.03236openalex-snapshot
High Speed Tracking With A Fourier Domain Kernelized Correlation Filter
inferred← citeshttps://doi.org/10.48550/arxiv.2105.12161openalex-snapshot
Occlusion Aware Kernel Correlation Filter Tracker using RGB-D
inferred← citeshttps://doi.org/10.5121/mlaij.2016.3401openalex-snapshot
Model Based Technique for Vehicle Tracking in Traffic Video Using Spatial Local Features
inferred← citeshttps://doi.org/10.5201/ipol.2022.434openalex-snapshot
Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time Applications
inferred← citeshttps://doi.org/10.5244/c.28.101openalex-snapshot
Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models
inferred← citeshttps://doi.org/10.5244/c.28.25openalex-snapshot
Part Context Learning for Visual Tracking
inferred← citeshttps://doi.org/10.5244/c.29.163openalex-snapshot
Classifying Global Scene Context for On-line Multiple Tracker Selection
inferred← citeshttps://doi.org/10.70675/8f5cc981zc9c6z4d58za6f2zd1cc874ba19aopenalex-snapshot
Online machine learning methods for visual tracking
inferred← citeshttps://doi.org/10.70675/d4f02d17zeee0z43a8za6d0z77128d6027edopenalex-snapshot
Exploiting scene context for on-line object tracking in unconstrained environments
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