Non-intrusive eye gaze direction tracking using color segmentation and Hough Transform

Bong, David B L and Lim, Kok Houi (2007) Non-intrusive eye gaze direction tracking using color segmentation and Hough Transform. International Symposium on Communications and Information Technologies, 2007. ISCIT '07. ISSN ISBN: 978-1-4244-0976-1

[img]
Preview
PDF
Non-Intrusive Eye Gaze Direction Tracking (abstract).pdf

Download (51kB) | Preview

Abstract

This paper presents a method to detect and track the movement of the eye in a controlled context based on image processing techniques with minimal hardware support. Primary image processing techniques used in this paper are color segmentation and Hough Transform for circle detection. This system is capable of detecting the movement of the eye and its direction with reasonable accuracy.

Item Type: Article
Uncontrolled Keywords: Equations, Computer vision, Image segmentation, Tracking, Image processing, Shape, Hardware, Color, Magnetic heads, Lenses, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 08 Jun 2017 07:22
Last Modified: 08 Jun 2017 07:22
URI: http://ir.unimas.my/id/eprint/16566

Actions (For repository members only: login required)

View Item View Item