Statistics for topic multi-object-tracking
RepositoryStats tracks 609,392 Github repositories, of these 72 are tagged with the multi-object-tracking topic. The most common primary language for repositories using this topic is Python (55).
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[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
Demo on how to compute soccer ball possession automatically using AI.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
[ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
Demo on how to compute soccer ball possession automatically using AI.
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
[ICRA2024] RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.