On Image Segmentation Techniques for Driver Inattention Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94504" target="_blank" >RIV/00216305:26220/11:PU94504 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On Image Segmentation Techniques for Driver Inattention Systems
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1897" target="_blank" >GA102/09/1897: Safety of Car Transportation</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Proceedings of the 17th International Conference on Soft Computing
ISBN
978-80-214-4120-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-6
Publisher name
Institute of Automation and Computer Science
Place of publication
Brno, Czech Republic
Event location
Brno University of Technology
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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