Driver drowsiness estimation from facial expression features: Computer Vision Feature Investigation using a CG Model

Taro Nakamura, Akinobu Maejima, Shigeo Morishima

研究成果

16 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
出版社SciTePress
ページ207-214
ページ数8
ISBN(印刷版)9789897580048
DOI
出版ステータスPublished - 2014 1 1
イベント9th International Conference on Computer Vision Theory and Applications, VISAPP 2014 - Lisbon, Portugal
継続期間: 2014 1 52014 1 8

出版物シリーズ

名前VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
2

Conference

Conference9th International Conference on Computer Vision Theory and Applications, VISAPP 2014
国/地域Portugal
CityLisbon
Period14/1/514/1/8

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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