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.

Bayesian multi-object tracking

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

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.

SDK for running DeepLabCut on a live video stream

License Plate Detection using YOLOv8

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 modular end-to-end tracking framework for research and development

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

An implementation of several tracking algorithms based on Lucas Kanade algorithms

Python package designed for collecting and processing trajectory data.

Tracking and Trajectory Prediction

Reconstruct billions of particle trajectories with graph neural networks

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

Python package for tracking simulations in particle accelerators on CPU and GPU.

Object based tracking for model, radar and any other kind of data

Wrong way vehicle detection from traffic footage using yolov5 and centroid tracking algorithm