DocumentCode
1935558
Title
Eye Tracing in Real-time Fatigue Driving Monitoring System
Author
Yang, Jie ; Shi, Chunlin
Author_Institution
Sch. of Inf. Eng., Wuhan Univ. of Technol.
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
In the real-time fatigue monitoring system, accurate track of the driver´s eyes decides the reliability and practicability of the system. In this paper the method we adopt is, for images collected by infrared CCD camera, the frame-difference method is primarily adopted to locate the area of head. Laterly, we judge the image type according to whether the statistic pixel is suitable to the characteristic of complexion. As for colored image, we make use of the characteristic of complexion clustering to locate the face then apply the hybrid projection function to track the eyes; as for the infrared image, we apply the image differential projection function to locate the candidated district of eyes, further locate the eyes through Hough transform. The experiment results indicate that the proposed scheme can eliminate the impact brought by light changes in driver´s cab and exactly trace the eyes; meanwhile it has applied values to some extent
Keywords
CCD image sensors; Hough transforms; computerised monitoring; image colour analysis; statistical analysis; Hough transform; complexion clustering characteristic; eye tracing; frame-difference method; image color; image differential projection function; infrared CCD camera; real-time fatigue driving monitoring system; statistic pixel; Charge coupled devices; Charge-coupled image sensors; Eyes; Fatigue; Head; Infrared imaging; Monitoring; Pixel; Real time systems; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345595
Filename
4129076
Link To Document