A Rapid Facial-Direction Detection System Based on Symmetrical Measurement
This study presents a method of detecting driver’s facial direction, which is necessary to judge the timing of alert and control the vehicle speed for a Front Collision Avoidance Assistance System. The method is robust against various facial and lighting conditions using three features that are robust against variety. One is a histogram of the facial vertical edges that exist on the faces of almost all people. The second is a White-Black-White edge, which extracts a pair of upward and downward horizontal edges. The edges particularly emphasize facial features patterns like the eyes and mouth. The third is symmetry of facial features: a face is nearly symmetrical around a vertical center axis. These features are apparent in low resolution images. Using them, a rapid facial-direction detection system can be realized which is robust against facial variety and lighting conditions.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Shiraki, Nobuyuki
- Ando, Michinori
- Ninomiya, Yoshiki
- Tanaka, Isahiko
- Ohue, Kenichi
- Tokoro, Setsuo
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Conference:
- 12th World Congress on Intelligent Transport Systems
- Location: San Francisco California, United States
- Date: 2005-11-6 to 2005-11-10
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: CD-ROM; Figures; References; Tables;
- Pagination: 8p
- Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems
Subject/Index Terms
- TRT Terms: Alertness; Crash avoidance systems; Detection and identification; Driver information systems; Edge detection; Face; Measurement; Speed control; Symmetry; Time
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01015863
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 13 2006 11:07AM