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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

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

  • e-ISSN

  • 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