Publication detail

Fatigue Features Based on Eye Tracking for Driver Inattention System

HORÁK, K.

Original Title

Fatigue Features Based on Eye Tracking for Driver Inattention System

English Title

Fatigue Features Based on Eye Tracking for Driver Inattention System

Type

conference paper

Language

en

Original Abstract

This paper deals with segmentation methods and fatigue features determination for a camera-based visual systems monitoring driver vigilance. Generally visual monitoring systems have to analyse a set of computed fatigue features and recognize driver inattention or sleepiness. The paper is focused mostly on the segmentation methods used for reliable eyes tracking because of eyes features are certainly the most significant features for determining of a driver fatigue. Fundamentals segmentation methods as a simple colour segmentation and Hough transform are introduced in the paper. After that a more complex Haar-like features approach and symmetries detection approach are shortly introduced. Finally, several of the leading fatigue features are listed and described. All the presented segmentation methods were tested on both laboratory and real images.

English abstract

This paper deals with segmentation methods and fatigue features determination for a camera-based visual systems monitoring driver vigilance. Generally visual monitoring systems have to analyse a set of computed fatigue features and recognize driver inattention or sleepiness. The paper is focused mostly on the segmentation methods used for reliable eyes tracking because of eyes features are certainly the most significant features for determining of a driver fatigue. Fundamentals segmentation methods as a simple colour segmentation and Hough transform are introduced in the paper. After that a more complex Haar-like features approach and symmetries detection approach are shortly introduced. Finally, several of the leading fatigue features are listed and described. All the presented segmentation methods were tested on both laboratory and real images.

Keywords

Haar-like features , colour segmentation , eye tracking , face symmetries , fatigue features

RIV year

2011

Released

20.08.2011

Publisher

Department of Telecommunications, Tribun EU s.r.o.

Location

Brno, Czech Republic

ISBN

978-1-4577-1411-5

Book

The Proceedings of the 34th International Conference on Telecommunication and Signal Processing.

Pages from

593

Pages to

597

Pages count

5

Documents

BibTex


@inproceedings{BUT74374,
  author="Karel {Horák}",
  title="Fatigue Features Based on Eye Tracking for Driver Inattention System",
  annote="This paper deals with segmentation methods and fatigue features determination for a camera-based visual systems monitoring driver vigilance. Generally visual monitoring systems have to analyse a set of computed fatigue features and recognize driver inattention or sleepiness. The paper is focused mostly on the segmentation methods used for reliable eyes tracking because of eyes features are certainly the most significant features for determining of a driver fatigue. Fundamentals segmentation methods as a simple colour segmentation and Hough transform are introduced in the paper. After that a more complex Haar-like features approach and symmetries detection approach are shortly introduced. Finally, several of the leading fatigue features are listed and described. All the presented segmentation methods were tested on both laboratory and real images.",
  address="Department of Telecommunications, Tribun EU s.r.o.",
  booktitle="The Proceedings of the 34th International Conference on Telecommunication and Signal Processing.",
  chapter="74374",
  howpublished="electronic, physical medium",
  institution="Department of Telecommunications, Tribun EU s.r.o.",
  year="2011",
  month="august",
  pages="593--597",
  publisher="Department of Telecommunications, Tribun EU s.r.o.",
  type="conference paper"
}