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