Fatigue Features Based on Eye Tracking for Driver Inattention System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94503" target="_blank" >RIV/00216305:26220/11:PU94503 - 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
Fatigue Features Based on Eye Tracking for Driver Inattention System
Original language description
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.
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/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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 34th International Conference on Telecommunication and Signal Processing.
ISBN
978-1-4577-1411-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
593-597
Publisher name
Department of Telecommunications, Tribun EU s.r.o.
Place of publication
Brno, Czech Republic
Event location
Budapest
Event date
Aug 18, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000299568700124