Daniluk, M, Rezaei, M orcid.org/0000-0003-3892-421X, Nicolescu, R et al. (1 more author) (2014) Eye Status Based on Eyelid Detection: A Driver Assistance System. In: Lecture Notes in Computer Science. International Conference on Computer Vision and Graphics ICCVG 2014, 15-17 Sep 2014, Warsaw, Poland. Springer , pp. 171-178. ISBN 978-3-319-11330-2
Abstract
Fatigue and driver drowsiness monitoring is an important subject for designing driver assistance systems. The measurement of eye closure is a fundamental step for driver awareness detection. We propose a method which is based on eyelid detection and the measurement of the distance between the eyelids. First, the face and the eyes of the driver are localized. After extracting the eye region, the proposed algorithm detects eyelids and computes the percentage of eye closure. Experimental results are performed on the BioID database. Our comparisons show that the proposed method outperforms state-of-the-art methods.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Springer International Publishing Switzerland 2014. This is an author produced version of a conference paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Driver Assistance System; Image Carrier; Driver Drowsiness; Driver Monitoring; Eyelid Detection |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Mar 2020 15:30 |
Last Modified: | 13 Mar 2020 15:30 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-319-11331-9_21 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157583 |