Open AccessDevelopment of Driver Fatigue Detection System By Using Video Images
Author(s) -
Burcu Kır Savaş,
Yaşar Becerikli
Publication year - 2019
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.201905054
Subject(s) - adaboost , artificial intelligence , computer vision , computer science , eye tracking , component (thermodynamics) , pattern recognition (psychology) , support vector machine , physics , thermodynamics
Major reasons for traffic accidents all over the world are mostly because of drivers' fatigue and lack of concentration. In this study, the detection and tracking of the drivers' faces in video based images were realized by using AdaBoost algorithm. The eye area was detected by using Principle Component Analysis (PCA). A predictive system was developed analyzing the eye closure of the drivers'. The system used PERCLOS (Percentage of eye closure) and it was tested on UCLA database.