A Driver Face Monitoring System for Fatigue and Distraction Detection
نویسندگان
چکیده
منابع مشابه
A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection
Every year, many car accidents due to driver fatigue and distraction occur around the world and cause many casualties and injuries. Driver face monitoring systems is one of the main approaches for driver fatigue or distraction detection and accident prevention. Driver face monitoring systems capture the images from driver face and extract the symptoms of fatigue and distraction from eyes, mouth...
متن کاملEmbedded Real Time Blink Detection System for Driver Fatigue Monitoring
Fatigue induced vehicle accidents have seen an increase in the last few decades. Fatigue monitoring using noninvasive and real time image processing and computer vision techniques have shown great promise and are an active research area. To that extent, in the proposed work a blink detection algorithm is proposed that serves as a visual cue that may be correlated to the state of fatigue of the ...
متن کاملAn Overview and Evaluation of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems
In this work various methods and algorithms for face and eyes detection are examined in order to decide which of them are applicable for use in a driver fatigue monitoring system. In the case of face detection the standard Viola-Jones face detector has shown best results, while the method of finding the eye centers by means of gradients has proven to be most appropriate in the case of eyes dete...
متن کاملComputer Vision System for Driver Fatigue Detection
Prof. M. M. Mukhedkar Department of E&TC Engineering, DYPCOE, DYPCOE, Ambi, Talegaon Pune, India Abstract—One of the leading reasons for traffic accidents is distracted attention of driver. As day by day numbers of vehicles on road are increasing, the proportion of number of accidents is also increasing. Drivers with a low vigilance level suffer from marked decline in their abilities of percept...
متن کاملVision-based method for detecting driver drowsiness and distraction in driver monitoring system
Jaihie Kim Yonsei University School of Electrical and Electronic Engineering 134 Sinchon-dong, Seodaemun-gu Seoul, Seoul 120-749, Republic of Korea E-mail: [email protected] Abstract. Most driver-monitoring systems have attempted to detect either driver drowsiness or distraction, although both factors should be considered for accident prevention. Therefore, we propose a new drivermonitoring me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Vehicular Technology
سال: 2013
ISSN: 1687-5702,1687-5710
DOI: 10.1155/2013/263983