Eye Status Based on Eyelid Detection: A Driver Assistance System

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



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
  • Published: 2014
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: https://doi.org/10.1007/978-3-319-11331-9_21