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Detail publikačního výsledku
HORÁK, K.
Originální název
Fatigue Features Based on Eye Tracking for Driver Inattention System
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Haar-like features , colour segmentation , eye tracking , face symmetries , fatigue features
Klíčová slova v angličtině
Autoři
Rok RIV
2012
Vydáno
20.08.2011
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" }