Detecting Driver Yawning in Successive Images

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 direct...

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Bibliographic Details
Published in2007 1st International Conference on Bioinformatics and Biomedical Engineering Vol. 1; pp. 581 - 583
Main Authors Lu, Yufeng, Wang, Zengcai
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2007
Subjects
Face detection
Fatigue
Image recognition
Image segmentation
Lighting
Lips
Mechanical engineering
Mouth
Robustness
Videos
Online AccessGet full text
ISBN9781424411207
1424411203
ISSN2151-7614
DOI10.1109/ICBBE.2007.152

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Summary: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.
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ISBN:9781424411207
1424411203
ISSN:2151-7614
DOI:10.1109/ICBBE.2007.152