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 :
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