DocumentCode
534991
Title
Driver fatigue monitoring method based on multi-information fusion
Author
He, Han ; Pang, Changle ; Li, Qiuyan
Author_Institution
Coll. of Eng., China Agric. Univ., Beijing, China
Volume
1
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
110
Lastpage
113
Abstract
By comparing existing motor driver fatigue monitoring methods, a fast algorithm to locate eye based on eye characteristics is proposed. More than one fatigue indicators are extracted by recognizing the state of eye, combined with facial fatigue indicator, a non-contact detection method based on image processing techniques for driver fatigue monitoring is proposed. Experimental results show that the method can quickly locate eyes with great accuracy, an extension of coverage, and evaluate the driver´s fatigue state through eye and face state characteristics with driver-friendly feature.
Keywords
accident prevention; face recognition; road safety; sensor fusion; eye characteristic; face state characteristic; facial fatigue indicator; image processing technique; motor driver fatigue monitoring; multiinformation fusion; noncontact detection method; Accuracy; Driver circuits; Face; Fatigue; Image color analysis; Monitoring; Skin; Driving fatigue; Skin-color model; eye detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646318
Filename
5646318
Link To Document