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Proceedings Paper

Eye state detection from color facial image sequence
Author(s): Hong Liu; Yuwen Wu; Hongbin Zha
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Paper Abstract

In this paper, an automatic and real time method for detecting eye states is proposed. The method is based on the fact that the regions of iris and white regions of an eyeball can be detected when it is open. In this case, color images contain more information helpful for detecting irises than intensity images. The saturation of color is used to detect whether the eye is open or closed, then the edge map of the eye image is used to detect the irises. Using the color information to detect the locations of irises is more accurate than using only the edge image. The image sequences are nearly frontal-view color facial image sequences. In the paper, some eye sequences, which are detected by this method, are shown.

Paper Details

Date Published: 31 July 2002
PDF: 6 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477054
Show Author Affiliations
Hong Liu, Peking Univ. (China)
Yuwen Wu, Peking Univ. (China)
Hongbin Zha, Peking Univ. (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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