Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking
Recent advances in transformer-based lightweight object tracking have established new standards across benchmarks, leveraging the global receptive field and powerful feature extraction capabilities of attention mechanism…
Object TrackingVisual TrackingPerception Test 2025: Challenge Summary and a Unified VQA Extension
The Third Perception Test challenge was organised as a full-day workshop alongside the IEEE/CVF International Conference on Computer Vision (ICCV) 2025. Its primary goal is to benchmark state-of-the-art video models and …
Video GenerationObject TrackingPoint TrackingLOST-3DSG: Lightweight Open-Vocabulary 3D Scene Graphs with Semantic Tracking in Dynamic Environments
Tracking objects that move within dynamic environments is a core challenge in robotics. Recent research has advanced this topic significantly; however, many existing approaches remain inefficient due to their reliance on…
Object TrackingCropTrack: A Tracking with Re-Identification Framework for Precision Agriculture
Multiple-object tracking (MOT) in agricultural environments presents major challenges due to repetitive patterns, similar object appearances, sudden illumination changes, and frequent occlusions. Contemporary trackers in…
Object TrackingKV-Tracker: Real-Time Pose Tracking with Transformers
Multi-view 3D geometry networks offer a powerful prior but are prohibitively slow for real-time applications. We propose a novel way to adapt them for online use, enabling real-time 6-DoF pose tracking and online reconst…
Object TrackingPose TrackingSPOT!: Map-Guided LLM Agent for Unsupervised Multi-CCTV Dynamic Object Tracking
CCTV-based vehicle tracking systems face structural limitations in continuously connecting the trajectories of the same vehicle across multiple camera environments. In particular, blind spots occur due to the intervals b…
Object TrackingLearning Generalizable Hand-Object Tracking from Synthetic Demonstrations
We present a system for learning generalizable hand-object tracking controllers purely from synthetic data, without requiring any human demonstrations. Our approach makes two key contributions: (1) HOP, a Hand-Object Pla…
Reinforcement LearningObject TrackingTracking spatial temporal details in ultrasound long video via wavelet analysis and memory bank
Medical ultrasound videos are widely used for medical inspections, disease diagnosis and surgical planning. High-fidelity lesion area and target organ segmentation constitutes a key component of the computer-assisted sur…
Object TrackingQuadratic Kalman Filter for Elliptical Extended Object Tracking based on Decoupling State Components
Extended object tracking involves estimating both the physical extent and kinematic parameters of a target object, where typically multiple measurements are observed per time step. In this article, we propose a determini…
Object TrackingLight Field Based 6DoF Tracking of Previously Unobserved Objects
Object tracking is an important step in robotics and reautonomous driving pipelines, which has to generalize to previously unseen and complex objects. Existing high-performing methods often rely on pre-captured object vi…
Object TrackingRecurrent Video Masked Autoencoders
We present Recurrent Video Masked-Autoencoders (RVM): a novel approach to video representation learning that leverages recurrent computation to model the temporal structure of video data. RVM couples an asymmetric maskin…
Representation LearningKnowledge DistillationAction ClassificationObject TrackingA 96pJ/Frame/Pixel and 61pJ/Event Anti-UAV System with Hybrid Object Tracking Modes
We present an energy-efficient anti-UAV system that integrates frame-based and event-driven object tracking to enable reliable detection of small and fast-moving drones. The system reconstructs binary event frames using …
Object TrackingEfficient Feature Compression for Machines with Global Statistics Preservation
The split-inference paradigm divides an artificial intelligence (AI) model into two parts. This necessitates the transfer of intermediate feature data between the two halves. Here, effective compression of the feature da…
Object TrackingBenchmarking SAM2-based Trackers on FMOX
Several object tracking pipelines extending Segment Anything Model 2 (SAM2) have been proposed in the past year, where the approach is to follow and segment the object from a single exemplar template provided by the user…
Object TrackingTwo-Stage Camera Calibration Method for Multi-Camera Systems Using Scene Geometry
Calibration of multi-camera systems is a key task for accurate object tracking. However, it remains a challenging problem in real-world conditions, where traditional methods are not applicable due to the lack of accurate…
Object TrackingTrackNetV5: Residual-Driven Spatio-Temporal Refinement and Motion Direction Decoupling for Fast Object Tracking
The TrackNet series has established a strong baseline for fast-moving small object tracking in sports. However, existing iterations face significant limitations: V1-V3 struggle with occlusions due to a reliance on purely…
Object TrackingMANTA: Physics-Informed Generalized Underwater Object Tracking
Underwater object tracking is challenging due to wavelength dependent attenuation and scattering, which severely distort appearance across depths and water conditions. Existing trackers trained on terrestrial data fail t…
Representation LearningContrastive LearningObject TrackingReferring Video Object Segmentation with Cross-Modality Proxy Queries
Referring video object segmentation (RVOS) is an emerging cross-modality task that aims to generate pixel-level maps of the target objects referred by given textual expressions. The main concept involves learning an accu…
Referring Video Object SegmentationObject TrackingImage Diffusion Models Exhibit Emergent Temporal Propagation in Videos
Image diffusion models, though originally developed for image generation, implicitly capture rich semantic structures that enable various recognition and localization tasks beyond synthesis. In this work, we investigate …
Video Object SegmentationImage GenerationObject TrackingReal-Time Object Tracking with On-Device Deep Learning for Adaptive Beamforming in Dynamic Acoustic Environments
Advances in object tracking and acoustic beamforming are driving new capabilities in surveillance, human-computer interaction, and robotics. This work presents an embedded system that integrates deep learning-based track…
Sound Source LocalizationDepth EstimationObject Tracking