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

Multiple Computer Vision course projects and labs such as: (Image cartoonifier, Coin detection, Image mosaics, Stereo vision, Lucas Kanade tracker for 3D object detection). Used multiple algorithms and techniques such as (Hough transform, Dynamic programming...)

The goal of this project is to implement the keypoint detector FAST (Features from Accelerated Segment Test) and to track keypoints with the Kanade–Lucas–Tomasi feature tracker.

Lucas-Kanade Template Tracker