Title :
Driver fatigue detection system based on machine vision
Author :
Zhang, Zhibin ; Chen, Yangzhou ; Yang, Yuzhen
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
Abstract :
Driver fatigue detection is attractive in intelligent transportation systems (ITS). In this paper, we analyze some usual methods of driver fatigue detection, and choose the machine vision based method to create a real-time driver fatigue detection system. First we separate the background through skin color segmentation, and band the face region in a rectangle according to prior information. Then we locate eyes by using Haar-like features. Finally we propose a new method to compute percentage of eyelid closure by using the features of the rectangle border of iris. The results of indoors experiments show good detection rate and precision.
Keywords :
Haar transforms; computer vision; image colour analysis; image segmentation; traffic engineering computing; Haar-like feature; driver fatigue detection system; intelligent transportation system; machine vision; skin color segmentation; Eyelids; Eyes; Face detection; Fatigue; Intelligent transportation systems; Iris; Machine intelligence; Machine vision; Real time systems; Skin; eye location; machine vision; skin color segmentation;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593566
