On Image Segmentation Techniques for Driver Inattention Systems

článek ve sborníku ve WoS nebo Scopus

angličtina

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.

driver fatigue, eyes detection, inattention, image processing, segmentation, tracking

HORÁK, K.; HONZÍK, P.; KUČERA, P.

2011

17. 6. 2011

Institute of Automation and Computer Science

Brno, Czech Republic

978-80-214-4120-0

The Proceedings of the 17th International Conference on Soft Computing

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