Driver Fatigue Detection using Mean Intensity, SVM, and SIFT
نویسندگان
چکیده
منابع مشابه
Iris Authentication using SIFT with SVM
In this paper, the proposed system is Iris authentication using SIFT with SVM. This method provides best, accurate matching between two set of Iris. Iris authentication is one of the developing research fields in the biometrics. The features of the Iris image is extracted using SIFT algorithm. The features are perfectly extracted from eye image using this algorithm. Then the extracted features ...
متن کاملDriver Fatigue Detection System Based on DM3730
Driver fatigue is a popular problem which has attracted people’s views. Many research departments are researching driver fatigue detection in order to improve the traffic safety. This paper presented a driver fatigue detection system based on DM3730. The system calculated the inter-image difference between frames captured by near-infrared light irradiation, which included identification of the ...
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 کاملReal-time Driver Fatigue Detection System
A Real-time Driver Fatigue Detection System has been developed, using image processing concepts. The system monitors the driver’s eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obt...
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 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 Interactive Multimedia and Artificial Intelligence
سال: 2019
ISSN: 1989-1660
DOI: 10.9781/ijimai.2017.10.002