DocumentCode :
3049383
Title :
Detecting Driver Yawning in Successive Images
Author :
Lu Yufeng ; Wang Zengcai
Author_Institution :
Dept. of Mech. Eng., Shandong Univ., Jinan
fYear :
2007
fDate :
6-8 July 2007
Firstpage :
581
Lastpage :
583
Abstract :
We can detect drivers´ yawn to recognize the drivers´ state in the process of drivers´ state detection. The face region is located using the difference image between two images. The face region is segmented and the chin is located, then the midpoint of nostrils is located using directional integral projection method. Based on the locating of the midpoint of nostrils and the chin we can recognize the drivers´ yawn by calculating the vertical distance between them. Our method is robust to variant illumination because this method isn´t based on color or intensity which is fragile to illumination. The experiments results that the method we present can detect most yawning in test videos.
Keywords :
biomedical measurement; image segmentation; medical image processing; chin; directional integral projection method; driver yawning; image segmentation; nostrils; Face detection; Fatigue; Image recognition; Image segmentation; Lighting; Lips; Mechanical engineering; Mouth; Robustness; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
Type :
conf
DOI :
10.1109/ICBBE.2007.152
Filename :
4272636
Link To Document :
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