Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation
Segment Anything 2 (SAM2) enables robust single-object tracking using segmentation. To extend this to multi-object tracking (MOT), we propose SAM2MOT, introducing a novel Tracking by Segmentation paradigm. Unlike Trackin…
Multi-Object TrackingObjectObject TrackingSegmentation+1Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier Functions
Ensuring safety for autonomous robots operating in dynamic environments can be challenging due to factors such as unmodeled dynamics, noisy sensor measurements, and partial observability. To account for these limitations…
Collision AvoidanceObject TrackingTQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking
Query denoising has become a standard training strategy for DETR-based detectors by addressing the slow convergence issue. Besides that, query denoising can be used to increase the diversity of training samples for model…
3D Multi-Object TrackingDenoisingMulti-Object TrackingObject TrackingData-Driven Object Tracking: Integrating Modular Neural Networks into a Kalman Framework
This paper presents novel Machine Learning (ML) methodologies for Multi-Object Tracking (MOT), specifically designed to meet the increasing complexity and precision demands of Advanced Driver Assistance Systems (ADAS). W…
Multi-Object TrackingObject TrackingTrajectory PredictionAttention-Aware Multi-View Pedestrian Tracking
In spite of the recent advancements in multi-object tracking, occlusion poses a significant challenge. Multi-camera setups have been used to address this challenge by providing a comprehensive coverage of the scene. Rece…
Multi-Object TrackingObject TrackingPedestrian DetectionCOST: Contrastive One-Stage Transformer for Vision-Language Small Object Tracking
Transformer has recently demonstrated great potential in improving vision-language (VL) tracking algorithms. However, most of the existing VL trackers rely on carefully designed mechanisms to perform the multi-stage mult…
cross-modal alignmentObjectObject TrackingDeep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker
Multi-object tracking plays a crucial role in various applications, such as autonomous driving and security surveillance. This study introduces Deep LG-Track, a novel multi-object tracker that incorporates three key enha…
Autonomous DrivingMulti-Object TrackingObjectObject TrackingTowards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
With the increasing complexity of mobile device applications, these devices are evolving toward high agility. This shift imposes new demands on mobile sensing, particularly in terms of achieving high accuracy and low lat…
3D ReconstructionEvent-based visionObject TrackingOptical Flow Estimation+2Hyperspectral Adapter for Object Tracking based on Hyperspectral Video
Object tracking based on hyperspectral video attracts increasing attention to the rich material and motion information in the hyperspectral videos. The prevailing hyperspectral methods adapt pretrained RGB-based object t…
ObjectObject TrackingDynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios
In the realm of object pose estimation, scenarios involving both dynamic objects and moving cameras are prevalent. However, the scarcity of corresponding real-world datasets significantly hinders the development and eval…
3D Object DetectionObjectobject-detectionObject Tracking+2TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos
Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactical strategies. However, existing datasets…
Game State ReconstructionMulti-Object TrackingObject TrackingPose Estimation+1MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
UAV tracking faces significant challenges in real-world scenarios, such as small-size targets and occlusions, which limit the performance of RGB-based trackers. Multispectral images (MSI), which capture additional spectr…
Object TrackingDynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction
DUSt3R has recently shown that one can reduce many tasks in multi-view geometry, including estimating camera intrinsics and extrinsics, reconstructing the scene in 3D, and establishing image correspondences, to the predi…
3D Object Tracking3D ReconstructionDepth EstimationDepth Prediction+5UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
Transformer-based trackers have achieved promising success and become the dominant tracking paradigm due to their accuracy and efficiency. Despite the substantial progress, most of the existing approaches tackle object t…
Object TrackingVisual Object TrackingOptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering
Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-based solutions have demonstrated impressi…
3D Multi-Object TrackingAutonomous DrivingMulti-Object TrackingObject TrackingHistory-Aware Transformation of ReID Features for Multiple Object Tracking
The aim of multiple object tracking (MOT) is to detect all objects in a video and bind them into multiple trajectories. Generally, this process is carried out in two steps: detecting objects and associating them across f…
Multi-Object TrackingMultiple Object TrackingObjectObject TrackingROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
The availability of large-scale remote sensing video data underscores the importance of high-quality interactive segmentation. However, challenges such as small object sizes, ambiguous features, and limited generalizatio…
Domain AdaptationInteractive SegmentationObject TrackingSegmentationCognitive Disentanglement for Referring Multi-Object Tracking
As a significant application of multi-source information fusion in intelligent transportation perception systems, Referring Multi-Object Tracking (RMOT) involves localizing and tracking specific objects in video sequence…
DisentanglementMulti-Object TrackingObjectObject Tracking+2Target-aware Bidirectional Fusion Transformer for Aerial Object Tracking
The trackers based on lightweight neural networks have achieved great success in the field of aerial remote sensing, most of which aggregate multi-stage deep features to lift the tracking quality. However, existing algor…
Object TrackingOVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Open-vocabulary multiple object tracking aims to generalize trackers to unseen categories during training, enabling their application across a variety of real-world scenarios. However, the existing open-vocabulary tracke…
Decodermultimodal interactionMultiple Object TrackingMultiple Object Tracking with Transformer+1