multi-object-tracking

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

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

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

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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.

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

Lightweight Python library for adding real-time multi-object tracking to any detector.

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

Paper list and source code for multi-object-tracking

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

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

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

Multi-object trackers in Python

[CVPR 2025] Multiple Object Tracking as ID Prediction

Library for tracking-by-detection multi object tracking implemented in python

Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

SiamMOT: Siamese Multi-Object Tracking

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

Real-time multi-object tracker using YOLOv7 and StrongSORT with OSNet