A VISION-BASED SYSTEM FOR MONITORING DRIVER FATIGUE
Main Authors: | Aryuanto, Aryuanto, Limpraptono, F. Yudi |
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Format: | Article PeerReviewed Book |
Bahasa: | eng |
Terbitan: |
Department of Electrical Engineering, National Institute of Technology, Malang, Indonesia
, 2009
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Subjects: | |
Online Access: |
http://eprints.itn.ac.id/3714/1/1.%20paper%20teknoin%202009.pdf http://eprints.itn.ac.id/3714/2/3.%20peer%20review%20teknoin%202009.pdf http://eprints.itn.ac.id/3714/3/2.%20cek%20plagiasi%20teknoin%202009.pdf http://eprints.itn.ac.id/3714/ |
Daftar Isi:
- Abstract This paper presents a vision-based system for monitoring driver fatigue. The system is divided into three stages: face detection, eye detection, and fatigue detection. Face detection based on the skin color segmentation is used to localize face image from a whole image. To overcome the normalized RGB chromaticity diagram is adopted. After face is localized, eye is detected by PERCLOS (percentage of eye closure over time) is calculated and used to detect a fatigue condition. Keywords : Driver fatigue, machine vision, face detection, eye detecton, fatigue detection.