Eye state detection from color facial image sequence

Hong Liu; Yuwen Wu; Hongbin Zha

doi:10.1117/12.477054

31 July 2002 Eye state detection from color facial image sequence

Hong Liu, Yuwen Wu, Hongbin Zha

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477054
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

Citation Download Citation

Hong Liu, Yuwen Wu, and Hongbin Zha "Eye state detection from color facial image sequence", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477054

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