Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
CorVS: Person Identification via Video Trajectory-Sensor Correspondence in a Real-World Warehouse
Worker location data is key to higher productivity in industrial sites. Cameras are a promising tool for localization in logistics warehouses since they also offer valuable environmental contexts such as package status. …
Person IdentificationVisual TrackingHybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery
Vision-based control systems, such as image-based visual servoing (IBVS), have been extensively explored for precise robot manipulation. A persistent challenge, however, is maintaining robust target tracking under partia…
Robot ManipulationVisual TrackingTrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
Embodied Visual Tracking (EVT) is a fundamental ability that underpins practical applications, such as companion robots, guidance robots and service assistants, where continuously following moving targets is essential. R…
Zero-shot GeneralizationSpatial ReasoningVisual TrackingGood Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM
Given that Visual SLAM relies on appearance cues for localization and scene understanding, texture-less or visually degraded environments (e.g., plain walls or low lighting) lead to poor pose estimation and track loss. H…
Scene UnderstandingVisual TrackingPose EstimationLattice Boltzmann Model for Learning Real-World Pixel Dynamicity
This work proposes the Lattice Boltzmann Model (LBM) to learn real-world pixel dynamicity for visual tracking. LBM decomposes visual representations into dynamic pixel lattices and solves pixel motion states through coll…
Object TrackingVisual TrackingPoint TrackingISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking
RGB-Event tracking has become a promising trend in visual object tracking to leverage the complementary strengths of both RGB images and dynamic spike events for improved performance. However, existing artificial neural …
Visual Object TrackingVisual TrackingFastTracker: Real-Time and Accurate Visual Tracking
Conventional multi-object tracking (MOT) systems are predominantly designed for pedestrian tracking and often exhibit limited generalization to other object categories. This paper presents a generalized tracking framewor…
Multi-Object TrackingVisual TrackingModel-based Multi-object Visual Tracking: Identification and Standard Model Limitations
This paper uses multi-object tracking methods known from the radar tracking community to address the problem of pedestrian tracking using 2D bounding box detections. The standard point-object (SPO) model is adopted, and …
Multi-Object TrackingVisual TrackingReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking
Vision-language tracking has received increasing attention in recent years, as textual information can effectively address the inflexibility and inaccuracy associated with specifying the target object to be tracked. Exis…
Reinforcement LearningText GenerationVisual TrackingAn Event-based Fast Intensity Reconstruction Scheme for UAV Real-time Perception
Event cameras offer significant advantages, including a wide dynamic range, high temporal resolution, and immunity to motion blur, making them highly promising for addressing challenging visual conditions. Extracting and…
Visual TrackingDecoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
The success of visual tracking has been largely driven by datasets with manual box annotations. However, these box annotations require tremendous human effort, limiting the scale and diversity of existing tracking datase…
Visual Trackingemg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands
Tendon-driven robotic hands offer unparalleled dexterity for manipulation tasks, but learning control policies for such systems presents unique challenges. Unlike joint-actuated robotic hands, tendon-driven systems lack …
Visual TrackingExplicit Context Reasoning with Supervision for Visual Tracking
Contextual reasoning with constraints is crucial for enhancing temporal consistency in cross-frame modeling for visual tracking. However, mainstream tracking algorithms typically associate context by merely stacking hist…
Visual TrackingEndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control
Visualizing subtle vascular motions in endoscopic surgery is crucial for surgical precision and decision-making, yet remains challenging due to the complex and dynamic nature of surgical scenes. To address this, we intro…
Visual TrackingToken Bottleneck: One Token to Remember Dynamics
Deriving compact and temporally aware visual representations from dynamic scenes is essential for successful execution of sequential scene understanding tasks such as visual tracking and robotic manipulation. In this pap…
Self-Supervised LearningScene UnderstandingRobot ManipulationVisual TrackingWhat You Have is What You Track: Adaptive and Robust Multimodal Tracking
Multimodal data is known to be helpful for visual tracking by improving robustness to appearance variations. However, sensor synchronization challenges often compromise data availability, particularly in video settings w…
Mixture-of-ExpertsVisual TrackingStable Tracking-in-the-Loop Control of Cable-Driven Surgical Manipulators under Erroneous Kinematic Chains
Remote Center of Motion (RCM) robotic manipulators have revolutionized Minimally Invasive Surgery, enabling precise, dexterous surgical manipulation within the patient's body cavity without disturbing the insertion point…
Visual TrackingR1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Visual single object tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task has traditionally been framed as a tem…
Object TrackingTemplate MatchingVisual Object TrackingVisual TrackingExploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
Transformer-based visual trackers have demonstrated significant advancements due to their powerful modeling capabilities. However, their practicality is limited on resource-constrained devices because of their slow proce…
GPUVisual TrackingComparison of Two Methods for Stationary Incident Detection Based on Background Image
In general, background subtraction-based methods are used to detect moving objects in visual tracking applications. In this paper, we employed a background subtraction-based scheme to detect the temporarily stationary ob…
object-detectionObject DetectionVisual Tracking