loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Taro Nakamura ; Akinobu Maejima and Shigeo Morishima

Affiliation: Waseda University, Japan

ISBN: 978-989-758-004-8

Keyword(s): Drowsiness Level Estimation, Face Texture Analysis, Wrinkle Detection, Edge Intensity, K-NN, CG for CV, Investigating Drowsiness Feature.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: We propose a method for estimating the degree of a driver’s drowsiness on the basis of changes in facial expressions captured by an IR camera. Typically, drowsiness is accompanied by drooping eyelids. Therefore, most related studies have focused on tracking eyelid movement by monitoring facial feature points. However, the drowsiness feature emerges not only in eyelid movements but also in other facial expressions. To more precisely estimate drowsiness, we must select other effective features. In this study, we detected a new drowsiness feature by comparing a video image and CG model that are applied to the existing feature point information. In addition, we propose a more precise degree of drowsiness estimation method using wrinkle changes and calculating local edge intensity on faces, which expresses drowsiness more directly in the initial stage.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.48.142

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nakamura, T.; Maejima, A. and Morishima, S. (2014). Driver Drowsiness Estimation from Facial Expression Features - Computer Vision Feature Investigation using a CG Model.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 207-214. DOI: 10.5220/0004648902070214

@conference{visapp14,
author={Taro Nakamura. and Akinobu Maejima. and Shigeo Morishima.},
title={Driver Drowsiness Estimation from Facial Expression Features - Computer Vision Feature Investigation using a CG Model},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004648902070214},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Driver Drowsiness Estimation from Facial Expression Features - Computer Vision Feature Investigation using a CG Model
SN - 978-989-758-004-8
AU - Nakamura, T.
AU - Maejima, A.
AU - Morishima, S.
PY - 2014
SP - 207
EP - 214
DO - 10.5220/0004648902070214

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.