DocumentCode :
2028547
Title :
Driver fatigue detection algorithm based on eye features
Author :
Tang, Jie ; Fang, Zuhua ; Hu, Shifeng ; Sun, Ying
Author_Institution :
Coll. of Inf., Mech. & Electr. Eng., Shanghai Normal Univ., Shanghai, China
Volume :
5
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2308
Lastpage :
2311
Abstract :
This paper proposes a method of driver fatigue detection based on eye features - utilizing frame-difference projection to localize right and left boundaries of the face, then horizontal gray projection curve to localize approximate horizontal position of the eyes, and third, template matching to get the accurate eye position of the initial frame. After reliable localization of it, use dynamic template matching to track the eye position of next frames. Finally, detect eye state through similarity, which provides a basis for further fatigue detection.
Keywords :
eye; face recognition; feature extraction; image matching; road safety; driver fatigue detection algorithm; eye features; eye position tracking; face localization; frame-difference projection; horizontal gray projection curve; template matching; Accuracy; Driver circuits; Face; Fatigue; Feature extraction; Image edge detection; Lighting; Sobel operator; frame-difference projection; gray projection; template matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569306
Filename :
5569306
Link To Document :
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