Paper Info
Title
Driver Fatigue Detection Based on Eye Tracking.
Abstract
The international statistics shows that a large number of road accidents are caused by driver fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely warning could help in preventing many accidents, and consequently save money and reduce personal suffering. The authors have made an attempt to design a system that uses video camera that points directly towards the driverpsilas face in order to detect fatigue. If the fatigue is detected a warning signal is issued to alert the driver. The authors have worked on the video files recorded by the camera. Video file is converted into frames. Once the eyes are located from each frame, by measuring the distances between the intensity changes in the eye area one can determine whether the eyes are open or closed. If the eyes are found closed for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. The algorithm is proposed, implemented, tested, and found working satisfactorily.
Year
DOI
Venue
2008
10.1109/ICETET.2008.17
Nagpur, Maharashtra
Keywords
Field
DocType
timely warning,driver fatigue detection,oncoming driver fatigue,video camera,eye area,consecutive frame,warning signal,international statistic,eye tracking,driver fatigue,intensity change,video file,face recognition,sleep,face,statistics,skin,face detection
Computer vision,Facial recognition system,Computer science,Vehicle driving,Eye tracking,Artificial intelligence,Face detection,Video camera
Conference
ISBN
Citations 
PageRank 
978-0-7695-3267-7
19
1.47
References 
Authors
4
2
Name
Order
Citations
PageRank
Mandalapu Sarada Devi1212.24
Preeti R. Bajaj28114.51