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

Official Python Implementation for "CycleLK: Self-Supervised Cycle Lucas-Kanade Network for Correspondence Flow", In Submission

💻 🧐 NTUA ECE Video & Image Analysis Source Codes

💻 🧐 NTUA ECE Computer Vision Source Codes

Lucas-Kanade tracking demo

Examining Farneback and lucas-Kanade optical flows also testing MOG, MOG2, and GMG background subtraction approaches

Estimating the velocity of a Moving Car using Various Approaches

Contains 6-Projects and 1-Homework

A manually-implemented Lucas-Kanade object tracker used to track cars/helicopter landing site. (Yet to be completed)

Course project for CSE 344 : Computer Vision.

Tracking moving human using lucaskanad optical flow algorithm

This repository contains a collection of solved exercises that implement various algorithms from the field of image processing, including the Lucas-Kanade algorithm, neural networks, and other advanced methods.

Image & Video Technology and Analysis [ECE NTUA]

Track objects in a video stream using Lucas-Kanade forward-additive algorithm for 2D translations

Implementation of Lucas-Kanade and Horn-Schunck methods for optical flow

mini-projects for understanding fundamentals in computer vision

OpenCV demonstrations of selected algorithms related to motion tracking: (1) mean shift, (2) CAMSHIFT, (3) iterative Lucas-Kanade algorithm with pyramids, and (4) Farnebäck's algorithm

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

Image processing algorithms

ROS wrapper for CUDA Visual Library by RPG.