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Publication detail
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
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" }