DocumentCode :
535395
Title :
The detection algorithm of locomotive drivers´ fatigue based on vision
Author :
Youling Zhao ; Zheng Gao ; Wenxian Wu
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume :
6
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2686
Lastpage :
2690
Abstract :
To do exact, real-time and non-contact detection of the locomotive driver´s fatigue, an algorithm based on vision is proposed in this paper. In color image of the locomotive driver, the human face is detected by combining the clustering characteristic of skin color in color space and basic human face features. Then, a new method of projection based on mask is designed for locating the eyes. Finally, the PERCLOS is adapted to recognize driving fatigue. The experiments validate the effectiveness and reliability of the algorithm.
Keywords :
face recognition; feature extraction; image colour analysis; iris recognition; locomotives; pattern clustering; vision; PERCLOS; driving fatigue recognition; eyes location; human face detection; locomotive driver color image; locomotive driver fatigue detection; real-time noncontact detection; skin color clustering; Driver circuits; Face; Face detection; Fatigue; Humans; Image color analysis; Skin; PERCLOS; eyes location; fatigue detection; locomotive driving; vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647953
Filename :
5647953
Link To Document :
بازگشت