DocumentCode :
1946648
Title :
The Study of Driver Fatigue Monitor Algorithm Combined PERCLOS and AECS
Author :
Liying Lang ; Haoxiang Qi
Author_Institution :
Dept. of Educ. Adm., Hebei Univ. of Eng., Handan
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
349
Lastpage :
352
Abstract :
In this paper, combined PERCLOS and AECS, we introduce an algorithm to detect the driver fatigue. The algorithm, based on color image skin color segment, can directly transforms the RGB form image to the gradation image by the skin color segmentation, and then the eyes is detected. Then we identify eyepsilas condition through the judgment of eye area. Finally, this driver fatigue monitor algorithm calculates the speed of eye close at a short time.
Keywords :
driver information systems; image colour analysis; image segmentation; AECS; PERCLOS; color image skin color segmentation; driver fatigue monitor algorithm; gradation image; Eyelids; Eyes; Face detection; Fatigue; Humans; Image segmentation; Monitoring; Road accidents; Skin; Statistics; AECS; PERCLOS; driver fatigue; skin color segment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.771
Filename :
4721759
Link To Document :
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