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http://dx.doi.org/10.6109/jkiice.2010.14.5.1240

Tracking of eyes based on the iterated spatial moment using weighted gray level  

Choi, Woo-Sung ((주)에이스트로닉스 연구원)
Lee, Kyu-Won (대전대학교 정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.5, 2010 , pp. 1240-1250 More about this Journal
Abstract
In this paper, an eye tracking method is presented by using on iterated spatial moment adapting weighted gray level that can accurately detect and track user's eyes under the complicated background. The region of face is detected by using Haar-like feature before extracting region of eyes to minimize an region of interest from the input picture of CCD camera. And the region of eyes is detected by using eigeneye based on the eigenface of Principal component analysis. Also, feature points of eyes are detected from darkest part in the region of eyes. The tracking of eyes is achieved correctly by using iterated spatial moment adapting weighted gray level.
Keywords
Eye Tracking system; Haar-like feature; principal component analysis; spatial moment;
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Times Cited By KSCI : 2  (Citation Analysis)
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