Popular GitHub Repositories for Multi Object Tracking

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT ?

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

SiamMOT: Siamese Multi-Object Tracking

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)

Demo on how to compute soccer ball possession automatically using AI.

[AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.

This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

[ICRA2024] RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud

[CVPR 2023] Unifying Short and Long-Term Tracking with Graph Hierarchies

Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization.

? [ICLR 2025] OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer

A summary and list of open source 3D multi object tracking and datasets at this stage.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

yolox-bytetrack-sampleのマルチクラス拡張版