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
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Non-Intrusive Eye Gaze Direction Tracking (abstract).pdf Download (51kB) | Preview |
Official URL: http://ieeexplore.ieee.org/document/4392089/
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 |
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| 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 Faculties, Institutes, 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 |
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