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HORÁK, K. HONZÍK, P. KUČERA, P.
Original Title
On Image Segmentation Techniques for Driver Inattention Systems
Type
conference paper
Language
English
Original Abstract
Visual systems for automatic monitoring of driver vigilance usually have to address two main problems. First of all, they have to acquire and process image sequence so that fatigue features can be simply extracted. Secondly, visual systems have to analyse a set of acquired features and subsequently recognize dangerous behaviour such as driver inattention or sleepiness. This paper is focused particularly on segmentation methods used for reliable eyes tracking, because of eyes features are probably most significant features for determining of a driver fatigue. Fundamentals segmentation methods as simple colour segmentation or Hough transform as well as more complex methods as Haar-like features or symmetries detection are introduced in the paper. Several of the most frequently used fatigue features are listed and described at the end of the paper. All the presented methods were tested and verified on both laboratory and real sets of images.
Keywords
driver fatigue, eyes detection, inattention, image processing, segmentation, tracking
Authors
HORÁK, K.; HONZÍK, P.; KUČERA, P.
RIV year
2011
Released
17. 6. 2011
Publisher
Institute of Automation and Computer Science
Location
Brno, Czech Republic
ISBN
978-80-214-4120-0
Book
The Proceedings of the 17th International Conference on Soft Computing
Pages from
1
Pages to
6
Pages count
5
BibTex
@inproceedings{BUT74375, author="Karel {Horák} and Petr {Honzík} and Pavel {Kučera}", title="On Image Segmentation Techniques for Driver Inattention Systems", booktitle="The Proceedings of the 17th International Conference on Soft Computing", year="2011", pages="1--6", publisher="Institute of Automation and Computer Science", address="Brno, Czech Republic", isbn="978-80-214-4120-0" }