Eye Location and Eye State Detection in Facial Images with Unconstrained Background
Year: 2007
Journal of Information and Computing Science, Vol. 2 (2007), Iss. 3 : pp. 209–214
Abstract
This paper presents an efficient approach to achieve fast and accurate eye states detection in still gray level images with unconstrained background. The structure of eye region is used as a robust cue to find eye pair candidates. Eyes are located by eye verification using SVMs. The eye contour information is used to detect whether eyes are open or closed after locating eyes. The proposed method is robust to deal with illumination changes, moderate rotations, glasses wearing and partial face occlusions. The proposed method is evaluated on the BioID face database and experimental results demonstrate its effectiveness.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22800
Journal of Information and Computing Science, Vol. 2 (2007), Iss. 3 : pp. 209–214
Published online: 2007-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6