Detail publikace

Fatigue Features Based on Eye Tracking for Driver Inattention System

HORÁK, K.

Originální název

Fatigue Features Based on Eye Tracking for Driver Inattention System

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

HORÁK, K.

Rok RIV

2011

Vydáno

20. 8. 2011

Nakladatel

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

Místo

Brno, Czech Republic

ISBN

978-1-4577-1411-5

Kniha

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

Strany od

593

Strany do

597

Strany počet

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"
}