DocumentCode :
2534739
Title :
Driver eye feature extraction based on infrared illuminator
Author :
Di, Wei ; Wang, Rongben ; Ge, Pingshu ; Cao, Fengping
Author_Institution :
Transp. & Traffic Coll., Jilin Univ., Changchun, China
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
330
Lastpage :
334
Abstract :
Driver fatigue and decentralization of spirit at night is a major factor causing the night-time traffic accident. Eye location is the precondition to monitor driver´s fatigue state with image processing technique. Based on Otsu threshold segmentation algorithm, with the help of horizontal projection and vertical projection in binary image, the paper locates the driver face region accurately, and establishes eye location based on the region labeling algorithm. The paper also locates driver pupils efficiently and accurately by using the method of Harris corner detection. Experiments have proved good reliability and validity of the algorithms.
Keywords :
feature extraction; image segmentation; infrared imaging; matrix algebra; Harris corner detection; Otsu threshold segmentation algorithm; binary image; driver eye feature extraction; eye location; horizontal projection; image processing technique; infrared illuminator; region labeling algorithm; vertical projection; Eyes; Face detection; Fatigue; Feature extraction; Image segmentation; Infrared imaging; Infrared sensors; Optical sensors; Road accidents; Testing; Eye Feature; Infrared Illuminator; Machine Vision; Night-time Driving fatigue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164299
Filename :
5164299
Link To Document :
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