DocumentCode
2465097
Title
Research of Driver Eye Features Detection Algorithm Based on OpenCV
Author
Hu, Shifeng ; Fang, Zuhua ; Tang, Jie ; Xu, Hongbing ; Sun, Ying
Author_Institution
Coll. of Inf., Mech. & Electr. Eng., Shanghai Normal Univ., Shanghai, China
Volume
3
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
348
Lastpage
351
Abstract
This paper proposes a driver fatigue eye features detection algorithm based on OpenCV image processing and computer vision development platform. This algorithm localizes eye-area and detects its state based on rough to accurate thought, and can localize eye pupils in eye-open state accurately, which has significance to decrease traffic accidents. The experiment shows this algorithm can detect drivers´ eye states accurately in real-time and be of robustness and effectiveness.
Keywords
computer vision; driver information systems; feature extraction; OpenCV image processing; computer vision development platform; driver fatigue eye feature detection algorithm; eye pupil; eye-open state; Accuracy; Driver circuits; Face; Fatigue; Feature extraction; Glass; Image edge detection; OpenCV; computer vision; fatigue driving; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.60
Filename
5709391
Link To Document