Papers Multi-Object Tracking
“Multi-Object Tracking” 태그가 달린 논문 812편 · 필터 해제
FastTracker: 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 TrackingSMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos
Brain-inspired Spiking Neural Networks (SNNs) exhibit significant potential for low-power computation, yet their application in visual tasks remains largely confined to image classification, object detection, and event-b…
Multi-Object TrackingImage ClassificationObject DetectionBridging the Gap: Doubles Badminton Analysis with Singles-Trained Models
Badminton is known as one of the fastest racket sports in the world. Despite doubles matches being more prevalent in international tournaments than singles, previous research has mainly focused on singles due to the chal…
Multi-Object TrackingContrastive LearningModel-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 TrackingSocialTrack: Multi-Object Tracking in Complex Urban Traffic Scenes Inspired by Social Behavior
As a key research direction in the field of multi-object tracking (MOT), UAV-based multi-object tracking has significant application value in the analysis and understanding of urban intelligent transportation systems. Ho…
Multi-Object TrackingTrajectory PredictionSpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving
End-to-end autonomous driving systems promise stronger performance through unified optimization of perception, motion forecasting, and planning. However, vision-based approaches face fundamental limitations in adverse we…
Multi-Object TrackingTrajectory PredictionTrajectory PlanningCollision AvoidanceMeMoSORT: Memory-Assisted Filtering and Motion-Adaptive Association Metric for Multi-Person Tracking
Multi-object tracking (MOT) in human-dominant scenarios, which involves continuously tracking multiple people within video sequences, remains a significant challenge in computer vision due to targets' complex motion and …
Multi-Object TrackingGRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking
Multi-object tracking (MOT) in monocular videos is fundamentally challenged by occlusions and depth ambiguity, issues that conventional tracking-by-detection (TBD) methods struggle to resolve owing to a lack of geometric…
Monocular Depth EstimationMulti-Object TrackingInstance SegmentationPoint CloudsHead Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking
Visual pedestrian tracking represents a promising research field, with extensive applications in intelligent surveillance, behavior analysis, and human-computer interaction. However, real-world applications face signific…
Multi-Object TrackingKeypoint DetectionQuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots
Panoramic cameras, capturing comprehensive 360-degree environmental data, are suitable for quadruped robots in surrounding perception and interaction with complex environments. However, the scarcity of high-quality panor…
Multi-Object TrackingVideo GenerationTracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
Multi-object tracking (MOT) aims to track multiple objects while maintaining consistent identities across frames of a given video. In unmanned aerial vehicle (UAV) recorded videos, frequent viewpoint changes and complex …
Multi-Object TrackingVision transformer-based multi-camera multi-object tracking framework for dairy cow monitoring
Activity and behaviour correlate with dairy cow health and welfare, making continual and accurate monitoring crucial for disease identification and farm productivity. Manual observation and frequent assessments are labor…
Multi-Object TrackingInstance SegmentationZero-Shot LearningSoccerTrack v2: A Full-Pitch Multi-View Soccer Dataset for Game State Reconstruction
SoccerTrack v2 is a new public dataset for advancing multi-object tracking (MOT), game state reconstruction (GSR), and ball action spotting (BAS) in soccer analytics. Unlike prior datasets that use broadcast views or lim…
Multi-Object TrackingAction SpottingStable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering
Multi-object tracking (MOT) enables autonomous vehicles to continuously perceive dynamic objects, supplying essential temporal cues for prediction, behavior understanding, and safe planning. However, conventional trackin…
Multi-Object TrackingAutonomous VehiclesDRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Low-light image enhancement remains a challenging task, particularly in preserving object edge continuity and fine structural details under extreme illumination degradation. In this paper, we propose a novel model, DRWKV…
Low-Light Image EnhancementMulti-Object TrackingBenchmarking pig detection and tracking under diverse and challenging conditions
To ensure animal welfare and effective management in pig farming, monitoring individual behavior is a crucial prerequisite. While monitoring tasks have traditionally been carried out manually, advances in machine learnin…
Multi-Object TrackingObject DetectionGOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern assignment (GOSPA) metric and measures …
Multi-Object TrackingMVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Results
Small Multi-Object Tracking (SMOT) is particularly challenging when targets occupy only a few dozen pixels, rendering detection and appearance-based association unreliable. Building on the success of the MVA2023 SOD4SB c…
Multi-Object TrackingObject TrackingYOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association
Tracking small, agile multi-objects (SMOT), such as birds, from an Unmanned Aerial Vehicle (UAV) perspective is a highly challenging computer vision task. The difficulty stems from three main sources: the extreme scarcit…
Multi-Object TrackingObject TrackingSelf-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
Multi-object tracking (MOT) aims to maintain consistent identities of objects across video frames. Associating objects in low-frame-rate videos captured by moving unmanned aerial vehicles (UAVs) in actual combat scenario…
Multi-Object Tracking