Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
Improving Visual Object Tracking through Visual Prompting
Learning a discriminative model to distinguish a target from its surrounding distractors is essential to generic visual object tracking. Dynamic target representation adaptation against distractors is challenging due to …
ObjectObject TrackingVisual Object Tracking+2An Overview of Multi-Object Estimation via Labeled Random Finite Set
This article presents the Labeled Random Finite Set (LRFS) framework for multi-object systems-systems in which the number of objects and their states are unknown and vary randomly with time. In particular, we focus on st…
Multi-Object TrackingObjectObject TrackingAdapTrack: Adaptive Thresholding-Based Matching For Multi-object Tracking
Multi-object tracking (MOT) plays a pivotal role in various computer vision domains with recent tracking-by detection algorithms that treat MOT as distinct detection and association tasks. However, the existing trackers …
Multi-Object TrackingObject TrackingA Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking
Multi-object tracking (MOT), a crucial task in computer vision, has broad applicability, and recently, tracking-by-detection-based trackers, which separate the processes of object detection and association, are showing s…
Multi-Object Trackingobject-detectionObject DetectionObject TrackingBlinkTrack: Feature Tracking over 100 FPS via Events and Images
Feature tracking is crucial for, structure from motion (SFM), simultaneous localization and mapping (SLAM), object tracking and various computer vision tasks. Event cameras, known for their high temporal resolution and a…
Object TrackingSimultaneous Localization and MappingGeneral Compression Framework for Efficient Transformer Object Tracking
Transformer-based trackers have established a dominant role in the field of visual object tracking. While these trackers exhibit promising performance, their deployment on resource-constrained devices remains challenging…
Model CompressionObjectObject TrackingVisual Object TrackingCAMOT: Camera Angle-aware Multi-Object Tracking
This paper proposes CAMOT, a simple camera angle estimator for multi-object tracking to tackle two problems: 1) occlusion and 2) inaccurate distance estimation in the depth direction. Under the assumption that multiple o…
Multi-Object TrackingObjectobject-detectionObject Detection+1Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
Over the past decade, significant progress has been made in visual object tracking, largely due to the availability of large-scale datasets. However, these datasets have primarily focused on open-air scenarios and have l…
ObjectObject TrackingVideo SegmentationVideo Semantic Segmentation+1Progressive Representation Learning for Real-Time UAV Tracking
Visual object tracking has significantly promoted autonomous applications for unmanned aerial vehicles (UAVs). However, learning robust object representations for UAV tracking is especially challenging in complex dynamic…
ObjectObject TrackingRepresentation LearningVisual Object TrackingAutomated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automated data driven metrics can alleviate the…
Multiple Object TrackingObject TrackingEnhancing Nighttime UAV Tracking with Light Distribution Suppression
Visual object tracking has boosted extensive intelligent applications for unmanned aerial vehicles (UAVs). However, the state-of-the-art (SOTA) enhancers for nighttime UAV tracking always neglect the uneven light distrib…
Object Trackingparameter estimationVisual Object TrackingWalker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs
The supervision of state-of-the-art multiple object tracking (MOT) methods requires enormous annotation efforts to provide bounding boxes for all frames of all videos, and instance IDs to associate them through time. To …
Multiple Object TrackingObject TrackingCloudTrack: Scalable UAV Tracking with Cloud Semantics
Nowadays, unmanned aerial vehicles (UAVs) are commonly used in search and rescue scenarios to gather information in the search area. The automatic identification of the person searched for in aerial footage could increas…
Object TrackingMCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
This paper introduces MCTrack, a new 3D multi-object tracking method that achieves state-of-the-art (SOTA) performance across KITTI, nuScenes, and Waymo datasets. Addressing the gap in existing tracking paradigms, which …
3D Multi-Object TrackingAutonomous DrivingMulti-Object TrackingMultiple Object Tracking+1TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps
Accurately detecting and tracking high-speed, small objects, such as balls in sports videos, is challenging due to factors like motion blur and occlusion. Although recent deep learning frameworks like TrackNetV1, V2, and…
Object TrackingTrajectory PredictionMasks and Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
Multi-object tracking (MOT) involves identifying and consistently tracking objects across video sequences. Traditional tracking-by-detection methods, while effective, often require extensive tuning and lack generalizabil…
Hand SegmentationManagementMulti-Object TrackingObject Tracking+1RockTrack: A 3D Robust Multi-Camera-Ken Multi-Object Tracking Framework
3D Multi-Object Tracking (MOT) obtains significant performance improvements with the rapid advancements in 3D object detection, particularly in cost-effective multi-camera setups. However, the prevalent end-to-end traini…
3D Multi-Object Tracking3D Object DetectionComputational EfficiencyMulti-Object Tracking+4SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
Open-vocabulary Multiple Object Tracking (MOT) aims to generalize trackers to novel categories not in the training set. Currently, the best-performing methods are mainly based on pure appearance matching. Due to the comp…
Multiple Object TrackingObject TrackingSTCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking
Multiple object tracking (MOT) in Unmanned Aerial Vehicle (UAV) videos is important for diverse applications in computer vision. Current MOT trackers rely on accurate object detection results and precise matching of targ…
Multiple Object TrackingObjectobject-detectionObject Detection+1Tracking Virtual Meetings in the Wild: Re-identification in Multi-Participant Virtual Meetings
In recent years, workplaces and educational institutes have widely adopted virtual meeting platforms. This has led to a growing interest in analyzing and extracting insights from these meetings, which requires effective …
object-detectionObject DetectionObject TrackingOptical Flow Estimation