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Proceedings Paper

Eye gaze tracking using correlation filters
Author(s): Mahmut Karakaya; David Bolme; Chris Boehnen
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Paper Abstract

In this paper, we studied a method for eye gaze tracking that provide gaze estimation from a standard webcam with a zoom lens and reduce the setup and calibration requirements for new users. Specifically, we have developed a gaze estimation method based on the relative locations of points on the top of the eyelid and eye corners. Gaze estimation method in this paper is based on the distances between top point of the eyelid and eye corner detected by the correlation filters. Advanced correlation filters were found to provide facial landmark detections that are accurate enough to determine the subjects gaze direction up to angle of approximately 4-5 degrees although calibration errors often produce a larger overall shift in the estimates. This is approximately a circle of diameter 2 inches for a screen that is arm’s length from the subject. At this accuracy it is possible to figure out what regions of text or images the subject is looking but it falls short of being able to determine which word the subject has looked at.

Paper Details

Date Published: 7 March 2014
PDF: 12 pages
Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 90240U (7 March 2014); doi: 10.1117/12.2040266
Show Author Affiliations
Mahmut Karakaya, Meliksah Univ. (Turkey)
David Bolme, Oak Ridge National Lab. (United States)
Chris Boehnen, Oak Ridge National Lab. (United States)

Published in SPIE Proceedings Vol. 9024:
Image Processing: Machine Vision Applications VII
Kurt S. Niel; Philip R. Bingham, Editor(s)

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