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

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

Optical Flow implementation in OpenCV

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

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.

💻 🧐 NTUA ECE Video & Image Analysis Source Codes

💻 🧐 NTUA ECE Computer Vision Source Codes

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

ROS wrapper for CUDA Visual Library by RPG.

💻 🧐 NTUA ECE Computer Vision Source Codes

mini-projects for understanding fundamentals in computer vision

Алгоритам за пресметување на Optical Flow во OpenCV

Object tracking using Lucas-Kanade template tracking

Real-time automated object tracking applications for both template matching and motion detection

Object Detection and Tracking with OpenCV background subtractors

Computer Vision CS ( 6476)

Contains 6-Projects and 1-Homework

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