Title :
A new method for detecting fatigue driving with camera based on OpenCV
Author :
Li, Xing ; Han, Guang ; Ma, Guangteng ; Chen, Yanshan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana Champaign, Urbana, IL, USA
Abstract :
The new system, which will be discussed in this paper, is to make the car slower and gives warning if it finds driver´s drowsy eyes. For instance, Toyota Motor Corporation announced that it has given its pre-crash safety system [1] the ability to determine whether a driver´s eyes are properly open with an eye monitor. This paper is proposing a new method detecting the drowsy eyes in order to implement the fatigue driving detecting system. Eyes are dynamic objects and have highly variability; that is why detecting eyes is pretty difficult. Here, we introduce a new method for detecting the drowsy eyes which is very suitable for hardware implementation and some other processes.
Keywords :
cameras; object detection; road safety; OpenCV; Toyota Motor Corporation; camera; eye fatigue detection; fatigue driving detection; precrash safety system; Cameras; Fatigue; Image processing; Monitoring; Safety; Streaming media; Vehicles; Fatigue detecting; OpenCV; binarization; eye detecting; image processing;
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-1009-4
Electronic_ISBN :
978-1-4577-1008-7
DOI :
10.1109/WCSP.2011.6096867