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

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

People detection and optional tracking with Tensorflow backend.

License Plate Detection using YOLOv8

YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.

Video and Image Analytics for Multiple Environments

Bayesian multi-object tracking

SDK for running DeepLabCut on a live video stream

Replication of MOT project - DeepSort with attention blocks.

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

[ZJU Robotics Project] DWA and Astar algorithms for wheeled-robot path planning

In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.

A Low-cost Open-source High-speed Multi-camera Motion Capture System.

Mastodon – a large-scale tracking and track-editing framework for large, multi-view images.

[RA-L 2023, ICRA 2024, ICRA RMDO 2024] This repository contains the code used in our paper, "TrackDLO: Tracking Deformable Linear Objects Under Occlusion with Motion Coherence." This algorithm is useful for tracking the motion of DLOs, including wire and rope, under several categories of occlusion without physics simulation.

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (CVPR 2021)

Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)

Reconstruct billions of particle trajectories with graph neural networks