BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Joint Detection and Embedding for fast multi-object tracking

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Python implementation of the IOU Tracker

Object detection and tracking algorithm implemented for Real-Time video streams and static images.

Finger Detection and Tracking using OpenCV and Python

Multiple object tracking (MOT) algorithm implemented in C++

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

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

Object tracking with OpenCV in open field behavioral test (overhead view maze)

Cascade-RCNN+DeepSort MOTDT Trackor++

Official PyTorch implementation of "Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking" (CVPR 2021).

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

[IROS2025]This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

[CVPR 2024] OC-SORT implemented in C++ with Eigen Library, Plus a Android Demo Apk

Temporally Identity-Aware SSD with Attentional LSTM

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.)