Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Is First Person Vision Challenging for Object Tracking?
Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide useful cues to effectively model such interac…
Human-Object Interaction DetectionObjectObject TrackingVisual Object Tracking+1Graph Attention Tracking
Siamese network based trackers formulate the visual tracking task as a similarity matching problem. Almost all popular Siamese trackers realize the similarity learning via convolutional feature cross-correlation between …
Graph AttentionObject TrackingVisual TrackingTransparent Object Tracking Benchmark
Visual tracking has achieved considerable progress in recent years. However, current research in the field mainly focuses on tracking of opaque objects, while little attention is paid to transparent object tracking. In t…
ObjectObject TrackingVisual TrackingRSINet: Rotation-Scale Invariant Network for Online Visual Tracking
Most Siamese network-based trackers perform the tracking process without model update, and cannot learn targetspecific variation adaptively. Moreover, Siamese-based trackers infer the new state of tracked objects by gene…
Multi-Task LearningVisual TrackingRGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
RGBT tracking has attracted increasing attention since RGB and thermal infrared data have strong complementary advantages, which could make trackers all-day and all-weather work. However, how to effectively represent RGB…
Representation LearningRgb-T TrackingVisual TrackingRobust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
In recent years, Convolutional Neural Network (CNN) based trackers have achieved state-of-the-art performance on multiple benchmark datasets. Most of these trackers train a binary classifier to distinguish the target fro…
DiversityVisual TrackingMachine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions
Polar mesocyclones (PMCs) and their intense subclass polar lows (PLs) are relatively small atmospheric vortices that form mostly over the ocean in high latitudes. PLs can strongly influence deep ocean water formation sin…
Visual TrackingCorrelation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation
Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned aerial vehicle (UAV)-based remote sensing…
Computational EfficiencyCPUVisual TrackingLeveraging Tacit Information Embedded in CNN Layers for Visual Tracking
Different layers in CNNs provide not only different levels of abstraction for describing the objects in the input but also encode various implicit information about them. The activation patterns of different features con…
Visual TrackingAdversarial Semi-Supervised Multi-Domain Tracking
Neural networks for multi-domain learning empowers an effective combination of information from different domains by sharing and co-learning the parameters. In visual tracking, the emerging features in shared layers of a…
Self-Supervised LearningVisual TrackingLearning Spatio-Appearance Memory Network for High-Performance Visual Tracking
Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby being limited in handling severe appeara…
Object TrackingSegmentationSemantic SegmentationVideo Object Segmentation+4LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmarks. To address this problem, we present L…
Object TrackingVisual TrackingVocal Bursts Intensity PredictionAdaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking
Due to the automatic feature extraction procedure via multi-layer nonlinear transformations, the deep learning-based visual trackers have recently achieved great success in challenging scenarios for visual tracking purpo…
AttributeVisual TrackingOnline Visual Tracking with One-Shot Context-Aware Domain Adaptation
Online learning policy makes visual trackers more robust against different distortions through learning domain-specific cues. However, the trackers adopting this policy fail to fully leverage the discriminative context o…
Domain AdaptationVisual TrackingBlending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following
Deep learning has recently started being applied to visual tracking of generic objects in video streams. For the purposes of robotics applications, it is very important for a target tracker to recover its track if it is …
Objectobject-detectionObject DetectionVisual TrackingAutomatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation speed which hardly meets the real-time re…
CPUTranslationVisual TrackingDR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the backg…
CPUReal-Time Visual TrackingregressionVisual TrackingRPT: Learning Point Set Representation for Siamese Visual Tracking
While remarkable progress has been made in robust visual tracking, accurate target state estimation still remains a highly challenging problem. In this paper, we argue that this issue is closely related to the prevalent …
Semi-Supervised Video Object SegmentationState EstimationVisual TrackingIntegration of the 3D Environment for UAV Onboard Visual Object Tracking
Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camera motion. To tackle these difficulties, …
3D ReconstructionObjectObject TrackingVisual Object Tracking+1Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clutter background, and other challenging v…
Object TrackingVisual Tracking