This project was developed for the Computer Vision course of the Master Degree Artificial Intelligence Systems at the University of Trento.

Optical Flow implementation in OpenCV

Estimating the velocity of a Moving Car using Various Approaches

Course project for CSE 344 : Computer Vision.

This repository contains an implementation of the Pyramidal Lucas-Kanade optical flow algorithm

They are optical flow implementations by Lucas-Kanade and Horn–Schunck respectively.

Object Detection and Tracking with OpenCV background subtractors

Optical flow global motion calculation

MSc Thesis on Simultaneous Localization and Mapping (SLAM) in a single camera system

Implementation of the two most well known optical flow estimation methods, the Lucas-Kanade method and the Horn-Schunck method.

The swiss army knife for extracting optical flow

A Lucas-Kanade implementation

Working on five computer vision tasks (optical flow, mean-shift tracking, correlation filter tracking, advanced tracking, and long-term tracking) using the programming language Python.

Object tracking using Lucas-Kanade template tracking

Lucas-Kanade Template Tracker

Computer Vision CS ( 6476)

This script is a dense modification of the Lucas Kanade Optical flow that is implemented in OpenCV sparsely.

Алгоритам за пресметување на Optical Flow во OpenCV

Lucas Kanade optical flow generator

Here we try to track the motion of the vehicles on a highway using the concept of Optical Motion Flow.