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

Type

conference paper

Language

English

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.

Keywords

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

Authors

HORÁK, K.

RIV year

2011

Released

20. 8. 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

BibTex

@inproceedings{BUT74374,
  author="Karel {Horák}",
  title="Fatigue Features Based on Eye Tracking for Driver Inattention System",
  booktitle="The Proceedings of the 34th International Conference on Telecommunication and Signal Processing.",
  year="2011",
  pages="593--597",
  publisher="Department of Telecommunications, Tribun EU s.r.o.",
  address="Brno, Czech Republic",
  isbn="978-1-4577-1411-5"
}