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

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.

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.

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