DocumentCode :
266868
Title :
Implementation of Computer Vision to detect driver fatigue or drowsiness to reduce the chances of vehicle accident
Author :
Chakraborty, Manali ; Aoyon, Ahamed Nasif Hossain
Author_Institution :
Mech., Chittagong Univ. of Eng. & Technol., Chittagong, Bangladesh
fYear :
2014
fDate :
10-12 April 2014
Firstpage :
1
Lastpage :
5
Abstract :
Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vision is a very active field to detect specific human physiology and behavior during driving to detect driver´s drowsiness. This paper proposes a design of detection system which can detect fatigue in drivers based on computer vision. The system approaches to detect fatigued drivers by first, detecting the face from a video sequence of driver´s frontal face followed by locating the eye from the extracted face. Secondly, system finds the existence of eye pupil from detected eye and measures the blink rate simultaneously and by analyzing these parameters, system measures the loss of awareness before driver completely loss his/her attention. The proposed system aims to be more cost effective than industrial installments and therefore all parameters have been analyzed under laboratory environment and frames have been captured with a low cost webcam.
Keywords :
accident prevention; behavioural sciences computing; cameras; computer vision; driver information systems; face recognition; human factors; image sequences; physiology; road accidents; blink rate measurement; computer vision; driver drowsiness detection; driver fatigue detection; driver frontal face; driver inattention; eye location; eye pupil detection; face extraction; human behavior detection; human physiology; vehicle accident; video sequence; webcam; Face; Face detection; Fatigue; Image edge detection; Transforms; Vehicles; Blink Rate; Computer Vision; Face Detection; Fatigue Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-4820-8
Type :
conf
DOI :
10.1109/ICEEICT.2014.6919054
Filename :
6919054
Link To Document :
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