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