Multiple Object Tracking
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Benchmarks
KITTI Test (Online Methods)
SportsMOT
BDD100K val
BDD100K test
CroHD
RADIATE
Waymo Open Dataset
GMOT-40
UA-DETRAC
YouTube-Hands
Most implemented
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
Towards Real-Time Multi-Object Tracking
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
PP-YOLOE: An evolved version of YOLO
Papers
When Fish Look Alike: Tracking Identities with Dual-branch Elasticity
Tracking dense, homogeneous targets like schooling fish remains a major challenge for multiple object tracking due to extreme inter-individual homogeneity, severe physical clustering, and rapid non-rigid deformations. Wh…
Multiple Object TrackingDual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition
Multiple Object Tracking (MOT) has long been a fundamental task in computer vision, with broad applications in various real-world scenarios. However, due to distribution shifts in appearance, motion pattern, and catagory…
Multiple Object TrackingMulti-Object TrackingTest-time AdaptationFutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking
We propose FutrTrack, a modular camera-LiDAR multi-object tracking framework that builds on existing 3D detectors by introducing a transformer-based smoother and a fusion-driven tracker. Inspired by query-based tracking …
Multiple Object TrackingMulti-Object TrackingMulti-tracklet Tracking for Generic Targets with Adaptive Detection Clustering
Tracking specific targets, such as pedestrians and vehicles, has been the focus of recent vision-based multitarget tracking studies. However, in some real-world scenarios, unseen categories often challenge existing metho…
Multiple Object TrackingAn Angular-Temporal Interaction Network for Light Field Object Tracking in Low-Light Scenes
High-quality 4D light field representation with efficient angular feature modeling is crucial for scene perception, as it can provide discriminative spatial-angular cues to identify moving targets. However, recent develo…
Multiple Object TrackingTemporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
Multimodal fusion (MMF) plays a critical role in the perception of autonomous driving, which primarily fuses camera and LiDAR streams for a comprehensive and efficient scene understanding. However, its strict reliance on…
Multiple Object TrackingScene UnderstandingAutonomous DrivingObject Detection