DocumentCode :
624638
Title :
The driver fatigue monitoring system based on face recognition technology
Author :
Xiao-qing Luo ; Rong Hu ; Tian-e Fan
Author_Institution :
Coll. of Sci. & Technol., Nanchang Univ., Nanchang, China
fYear :
2013
fDate :
9-11 June 2013
Firstpage :
384
Lastpage :
388
Abstract :
This paper uses different algorithms, which are called AdaBoost algorithm and the difference between infrared frames algorithm, to locate the precise position of the eyes in different light environment of driving. We identify the eye´s status by extracting the characteristic parameters of eyes and detect fatigue based on the method of PERCLOS. At the same time, tfurther test the driver´s fatigue, we use the Local Binary Patter (LBP) algorithm to detect the yawning as an aided detection. The results of the experiment show that algorithm ensures the accuracy of the system and it can achieve the requirement of non contact type, different lighting conditions and real-time detection.
Keywords :
driver information systems; face recognition; fatigue; learning (artificial intelligence); AdaBoost algorithm; PERCLOS method; driver fatigue monitoring system; eye detection; face recognition technology; fatigue detection; infrared frames algorithm; lighting conditions; local binary pattern algorithm; real-time detection; Eyelids; Face; Fatigue; Lighting; Monitoring; Mouth; Vehicles; AdaBoost; Driver fatigue; Eye detection; PERCLOS; Yawning detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
Type :
conf
DOI :
10.1109/ICICIP.2013.6568102
Filename :
6568102
Link To Document :
بازگشت