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