DocumentCode :
2871437
Title :
Driver Eyes Identification Based on Infrared Illuminator
Author :
Di, Wei ; Wang, Rongben
Author_Institution :
Transp. & Traffic Coll., Jilin Univ., Changchun, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Driver fatigue and decentralization of spirit at night is a major factor causing the night-time traffic accident. Eyes locations are 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 eyes location based on the region labeling algorithm. The paper using Laplace edge detection gets eyes contours points, and then fits these points by ellipse fitting. Experiments have proved good reliability and validity of the algorithms.
Keywords :
driver information systems; image segmentation; infrared imaging; Laplace edge detection; Otsu threshold segmentation algorithm; binary image; driver eyes identification; driver face region; driver fatigue state; ellipse fitting; eyes contour points; eyes location; image processing; infrared illuminator; night-time traffic accident; region labeling algorithm; Educational institutions; Eyes; Face detection; Face recognition; Fatigue; Flowcharts; Image edge detection; Image segmentation; Labeling; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5366673
Filename :
5366673
Link To Document :
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