Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Sound Localization by Self-Supervised Time Delay Estimation
Sounds reach one microphone in a stereo pair sooner than the other, resulting in an interaural time delay that conveys their directions. Estimating a sound's time delay requires finding correspondences between the signal…
Contrastive LearningVisual TrackingSingle Object Tracking Research: A Survey
Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has many challenges, e.g., object occlusion…
Objectobject-detectionObject DetectionObject Tracking+5In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking
The paper focuses on a classical tracking model, subspace learning, grounded on the fact that the targets in successive frames are considered to reside in a low-dimensional subspace or manifold due to the similarity in t…
Visual TrackingContext-aware Visual Tracking with Joint Meta-updating
Visual object tracking acts as a pivotal component in various emerging video applications. Despite the numerous developments in visual tracking, existing deep trackers are still likely to fail when tracking against objec…
Meta-LearningObject TrackingVisual Object TrackingVisual TrackingEfficient Visual Tracking via Hierarchical Cross-Attention Transformer
In recent years, target tracking has made great progress in accuracy. This development is mainly attributed to powerful networks (such as transformers) and additional modules (such as online update and refinement modules…
CPUGPUVisual TrackingJoint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
The current popular two-stream, two-stage tracking framework extracts the template and the search region features separately and then performs relation modeling, thus the extracted features lack the awareness of the targ…
Object TrackingRelationVideo Object TrackingVisual Object Tracking+1Robust Visual Tracking by Segmentation
Estimating the target extent poses a fundamental challenge in visual object tracking. Typically, trackers are box-centric and fully rely on a bounding box to define the target in the scene. In practice, objects often hav…
DecoderObject TrackingSegmentationSemantic Segmentation+5Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow
Tuning of measurement models is challenging in real-world applications of sequential Monte Carlo methods. Recent advances in differentiable particle filters have led to various efforts to learn measurement models through…
Density EstimationvalidVisual TrackingAd2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers. However, adding imperceptible perturbations can…
Adversarial AttackObject TrackingSuper-ResolutionVisual TrackingGlobal Instance Tracking: Locating Target More Like Humans
Target tracking, the essential ability of the human visual system, has been simulated by computer vision tasks. However, existing trackers perform well in austere experimental environments but fail in challenges like occ…
Visual Object TrackingVisual TrackingTowards a Unified Approach to Homography Estimation Using Image Features and Pixel Intensities
The homography matrix is a key component in various vision-based robotic tasks. Traditionally, homography estimation algorithms are classified into feature- or intensity-based. The main advantages of the latter are their…
Homography EstimationVisual TrackingYou Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Promising results have been achieved recently in category-level manipulation that generalizes across object instances. Nevertheless, it often requires expensive real-world data collection and manual specification of sema…
3D Object TrackingIndustrial RobotsObjectPose Tracking+4Learning Target-aware Representation for Visual Tracking via Informative Interactions
We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perform feature matching simply using the out…
Representation LearningVisual TrackingRecursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few-shot learning for online adaptation. Th…
Continual LearningFew-Shot LearningMeta-LearningOne-Shot Learning+1Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning
Active visual tracking of space non-cooperative object is significant for future intelligent spacecraft to realise space debris removal, asteroid exploration, autonomous rendezvous and docking. However, existing works of…
Deep Reinforcement LearningPose EstimationPositionreinforcement-learning+3Efficient Visual Tracking with Exemplar Transformers
The design of more complex and powerful neural network models has significantly advanced the state-of-the-art in visual object tracking. These advances can be attributed to deeper networks, or the introduction of new bui…
CPUObject TrackingVideo Object TrackingVisual Object Tracking+1Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
There is tremendous scope for improving the energy efficiency of embedded vision systems by incorporating programmable region-of-interest (ROI) readout in the image sensor design. In this work, we study how ROI programma…
Object TrackingVisual TrackingPersistent Animal Identification Leveraging Non-Visual Markers
Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-cage environment through time, as a precursor to automated behaviour recognition for biological research. This is a very chall…
Visual TrackingAn Informative Tracking Benchmark
Along with the rapid progress of visual tracking, existing benchmarks become less informative due to redundancy of samples and weak discrimination between current trackers, making evaluations on all datasets extremely ti…
DiversityVisual TrackingVisual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
Accurate and robust visual object tracking is one of the most challenging and fundamental computer vision problems. It entails estimating the trajectory of the target in an image sequence, given only its initial location…
Object TrackingSurveyVisual Object TrackingVisual Tracking