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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.
  • 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. (en)
Title
  • Fatigue Features Based on Eye Tracking for Driver Inattention System
  • Fatigue Features Based on Eye Tracking for Driver Inattention System (en)
skos:prefLabel
  • Fatigue Features Based on Eye Tracking for Driver Inattention System
  • Fatigue Features Based on Eye Tracking for Driver Inattention System (en)
skos:notation
  • RIV/00216305:26220/11:PU94503!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), Z(MSM0021630529)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 199400
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU94503
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Haar-like features , colour segmentation , eye tracking , face symmetries , fatigue features (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E63C754A9DFA]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Brno, Czech Republic
http://linked.open...i/riv/nazevZdroje
  • The Proceedings of the 34th International Conference on Telecommunication and Signal Processing.
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Horák, Karel
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000299568700124
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Department of Telecommunications, Tribun EU s.r.o.
https://schema.org/isbn
  • 978-1-4577-1411-5
http://localhost/t...ganizacniJednotka
  • 26220
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