Paper Info
Title
Driver Drowsiness Detection Using Skin Color Algorithm and Circular Hough Transform
Abstract
The fatigue state of the driver is one of the important factors that cause traffic accidents. Vision based facial expression recognization technique is the most prospective method to detect driver fatigue. Therefore, a system that can detect oncoming driver drowsiness and issue timely warning could help in preventing many accidents and consequently save money and reduce personal suffering. By mounting a small camera inside the car the face of driver can be monitored. Firstly the face is detected by using skin color algorithm and then eyes are detected by using Circular Hough transform. This paper describes a method to track the eyes and detect whether the eyes are closed or open. If the eyes are found closed for 8 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. In this paper non-intrusive technique is used in which no sensors are used on vehicle part as well as on body of the driver which was used in intrusive technique cause irritation in long time driving. The designed system is working properly in diverse conditions such as changes in light, shadow, and slightly dark background.
Year
DOI
Venue
2011
10.1109/ICETET.2011.42
ICETET
Keywords
Field
DocType
paper non-intrusive technique,circular hough transform,oncoming driver drowsiness,driver fatigue,driver drowsiness,intrusive technique cause irritation,facial expression recognization technique,skin color algorithm,prospective method,fatigue state,warning signal,cause traffic accident,timely warning,face detection,facial expression,hough transform,face recognition,object tracking,computer vision
Computer vision,Object detection,Shadow,Facial recognition system,Computer science,Hough transform,Algorithm,Vision based,Facial expression,Video tracking,Artificial intelligence,Face detection
Conference
Citations 
PageRank 
References 
2
0.43
3
Authors
3
Name
Order
Citations
PageRank
Mandalapu Sarada Devi1212.24
Monali V. Choudhari220.43
Preeti R. Bajaj38114.51