Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation
Existing visual trackers are easily disturbed by occlusion,blurandlargedeformation. Inthechallengesofocclusion, motion blur and large object deformation, the performance of existing visual trackers may be limited due to …
Deep Reinforcement LearningObjectReinforcement LearningVisual TrackingHigh Performance Visual Tracking With Siamese Region Proposal Network
Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks. However, most of these trackers can hardly get …
Object TrackingRegion ProposalVideo Object TrackingVisual Object Tracking+2Part-based Visual Tracking via Structural Support Correlation Filter
Recently, part-based and support vector machines (SVM) based trackers have shown favorable performance. Nonetheless, the time-consuming online training and updating process limit their real-time applications. In order to…
Visual TrackingMobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little attention, mainly due to the scarcity of dedi…
Face DetectionObject TrackingVisual TrackingMeasurement-wise Occlusion in Multi-object Tracking
Handling object interaction is a fundamental challenge in practical multi-object tracking, even for simple interactive effects such as one object temporarily occluding another. We formalize the problem of occlusion in tr…
Multi-Object TrackingObjectObject TrackingVisual TrackingCorrelation Tracking via Joint Discrimination and Reliability Learning
For visual tracking, an ideal filter learned by the correlation filter (CF) method should take both discrimination and reliability information. However, existing attempts usually focus on the former one while pay less at…
Visual TrackingHigh Performance Visual Tracking with Circular and Structural Operators
In this paper, a novel circular and structural operator tracker (CSOT) is proposed for high performance visual tracking, it not only possesses the powerful discriminative capability of SOSVM but also efficiently inherits…
Computational EfficiencyVisual TrackingVocal Bursts Intensity PredictionA Complementary Tracking Model with Multiple Features
Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness. Template handcrafted features have show…
modelVisual TrackingNow you see me: evaluating performance in long-term visual tracking
We propose a new long-term tracking performance evaluation methodology and present a new challenging dataset of carefully selected sequences with many target disappearances. We perform an extensive evaluation of six long…
BenchmarkingVisual TrackingTemporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking
Recently, weighted patch representation has been widely studied for alleviating the impact of background information included in bounding box to improve visual tracking results. However, existing weighted patch represent…
Graph RankingVisual TrackingVITAL: VIsual Tracking via Adversarial Learning
The tracking-by-detection framework consists of two stages, i.e., drawing samples around the target object in the first stage and classifying each sample as the target object or as background in the second stage. The per…
General ClassificationVisual TrackingVisual Tracking Using Sparse Coding and Earth Mover's Distance
An efficient iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to search for the optimal template candidat…
Visual TrackingContext-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The major contribution to the high computatio…
DenoisingFeature CompressionVisual Object TrackingVisual Tracking+1A New Target-specific Object Proposal Generation Method for Visual Tracking
Object proposal generation methods have been widely applied to many computer vision tasks. However, existing object proposal generation methods often suffer from the problems of motion blur, low contrast, deformation, et…
ObjectObject Proposal GenerationVisual TrackingThe Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed ca…
Multiple Object TrackingObjectobject-detectionObject Detection+2Region-filtering Correlation Tracking
Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including the Interference Region(IR). The IRs in tr…
Visual TrackingLearning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to resolve this issue by enforcing spatial penalty…
Video Object TrackingVisual Object TrackingVisual TrackingLearning Dynamic Memory Networks for Object Tracking
Template-matching methods for visual tracking have gained popularity recently due to their comparable performance and fast speed. However, they lack effective ways to adapt to changes in the target object's appearance, m…
ObjectObject TrackingTemplate MatchingVisual TrackingPatchwise object tracking via structural local sparse appearance model
In this paper, we propose a robust visual tracking method which exploits the relationships of targets in adjacent frames using patchwise joint sparse representation. Two sets of overlapping patches with different sizes a…
ObjectObject TrackingPositionVisual TrackingA Structural Correlation Filter Combined with A Multi-task Gaussian Particle Filter for Visual Tracking
In this paper, we propose a novel structural correlation filter combined with a multi-task Gaussian particle filter (KCF-GPF) model for robust visual tracking. We first present an assemble structure where several KCF tra…
Visual Tracking