Project Description

Motion detection is a very key technique in image processing. It can be used to find objects of interest in a camera feed. However, the wide majority of currently available motion detection methods assume that the camera is stationary. In 2017, a previous student successfully created a system that could detect motion in a video feed despite small movements of the camera by making an assumption that the object moving in the view makes up a minority of the frame. In the effort, the Lucas-Kanade optical flow method of motion detection was used. This project aims to implement an improved motion detection method, which will be compared to the previous student’s work and is hoped to exhibit far better results.