NDLI: Development of a robust active infrared-based eye tracker

Content Provider	IET Digital Library
Author	Coetzer, Reinier C. Hancke, Gerhard P.
Abstract	Eye tracking has a number of useful applications ranging from monitoring a vehicle driver for possible signs of fatigue, providing an interface to enable severely disabled people to communicate with others, to a number of medical applications. Most eye tracking applications require a non-intrusive way of tracking the eyes, making a camera-based approach a natural choice. However, although significant progress has been made in recent years, modern eye tracking systems still have not overcome a number of challenges including eye occlusions, variable ambient lighting conditions and inter-subject variability. This study describes the development of a robust real-time camera-based eye tracker, which is mainly suitable for indoor applications. The developed eye tracker relies on the so-called bright/dark pupil effect for both the eye detection and eye tracking phases. Furthermore, this study also aims to determine how strong the bright/dark pupil effect is among people from an African ethnical background, a feature that is very relevant to a country such as South Africa.
Starting Page	523
Ending Page	534
Page Count	12
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 6, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0251
Journal	IET Computer Vision
Publisher Date	2014-02-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	African Ethnical Background Bright/dark Pupil Effect Camera Camera-based Approach Computer Vision And Image Processing Technique Disabled People Eye Detection Eye Occlusions Eye Tracking Application Eye Tracking System Fatigue Gaze Tracking Image Sonsor Indoor Application Infrared Imaging Inter-subject Variability Lighting Medical Application Object Detection Object Tracking Optical, Image And Video Signal Processing Robust Active Infrared-based Eye Tracker Development Robust Real-time Camera-based Eye Tracker Development South Africa Variable Ambient Lighting Condition Vehicle Driver Monitoring
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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