3D MOT Research

MOT (Multi Object Tracking)

Papers with Code - 3D Object Tracking

25 papers with code • 2 benchmarks • 11 datasets

https://paperswithcode.com/task/3d-object-tracking

Papers with Code - 3D Multi-Object Tracking

Image: [Weng et al](https://arxiv.org/pdf/1907.03961v4.pdf)

https://paperswithcode.com/task/3d-multi-object-tracking

GitHub - luanshiyinyang/awesome-multiple-object-tracking: Resources for Multiple Object Tracking (MOT)

Resources for Multiple Object Tracking (MOT). Contribute to luanshiyinyang/awesome-multiple-object-tracking development by creating an account on GitHub.

https://github.com/luanshiyinyang/awesome-multiple-object-tracking

An Introduction to 3D Object Tracking (Advanced)

3D Object Tracking is one of the most advanced field in Computer Vision and 4D Perception. It gathers 3D Object Detection, LiDARs, 3D IOU, and even 3D Kalman Filters. Let's see how it works in this article.

https://www.thinkautonomous.ai/blog/3d-object-tracking/

SORT 기반 MOT

GitHub - xinshuoweng/AB3DMOT: (IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics" - GitHub - xinshuoweng/AB3DMOT: (IROS 2020, ECCVW 2020...

https://github.com/xinshuoweng/AB3DMOT

GitHub - tusen-ai/SimpleTrack

Contribute to tusen-ai/SimpleTrack development by creating an account on GitHub.

https://github.com/tusen-ai/SimpleTrack

GitHub - aleksandrkim61/EagerMOT: Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021] - GitHub - aleksandrkim61/EagerMOT: Official code for "EagerMOT: 3D Multi-Object Trac...

https://github.com/aleksandrkim61/EagerMOT

딥러닝 기반 MOT

Camera + Lidar Fusion

• MotionTrack (no code)
• https://arxiv.org/pdf/2303.10404.pdf
• We believe the MotionTrack can be used as a new baseline algorithm for future deep learning-based end-to-end tracking algorithms in the autonomous driving environment.

• DeepFusionMOT
• https://arxiv.org/abs/2202.12100

• YONTD-MOT
• https://arxiv.org/pdf/2304.08709.pdf
• You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking
• based on multi-modal fusion for joint detection and data association
• Currently, this repo supports most of the two -stage 3D detectors, such as TED, CasA, PV-RCNN, Voxel-RCNN, PV-RCNN++, etc.

• Complex-YOLO
• https://arxiv.org/pdf/1803.06199.pdf

Vision Based MOT

Recent Collections for Mono 3D detection - Reading Collections

在IROS2020投稿前后积攒了一系列单目3D检测paper的阅读。这里一次过进行记录,开源在前，未开源在后.

https://owen-liuyuxuan.github.io/papers_reading_sharing.github.io/3dDetection/RecentCollectionForMono3D/

GitHub - SysCV/qd-3dt: Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022

Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022 - GitHub - SysCV/qd-3dt: Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022

https://github.com/SysCV/qd-3dt

GitHub - ucbdrive/3d-vehicle-tracking: Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019) - GitHub - ucbdrive/3d-vehicle-tracking: Official implementation of Joint Monocular 3D Vehicle Detection and...

https://github.com/ucbdrive/3d-vehicle-tracking

GitHub - Zengyi-Qin/TLNet: Triangulation Learning Network: from Monocular to Stereo 3D Object Detection | KITTI

Triangulation Learning Network: from Monocular to Stereo 3D Object Detection | KITTI - GitHub - Zengyi-Qin/TLNet: Triangulation Learning Network: from Monocular to Stereo 3D Object Detection | KITTI

https://github.com/Zengyi-Qin/TLNet

GitHub - Owen-Liuyuxuan/visualDet3D: Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection - GitHub - Owen-Liuyuxuan/visualDet3D: Offici...

https://github.com/Owen-Liuyuxuan/visualDet3D

GitHub - gtzly/FADNet: Implementation for Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation.

Implementation for Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation. - GitHub - gtzly/FADNet: Implementation for Monocular 3D Object Detection with Sequ...

https://github.com/gtzly/FADNet

MOT Visualization

• AB3DMOT 기본 시각화
• 이미지와 영상으로 데이터를 산출해주는 기능 제공
KITTI 데이터셋



nuScenes 데이터셋

• 3D-Detection-Tracking-Viewer
• 3D-Detection-Tracking-Viewer

  hailanyi • Updated Aug 28, 2023
• 데이터셋만으로 단순히 시각화해주는 형태
시각화 예시

• kitti_object_vis
• 3D, birdview 활용 가능
시각화 예시