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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.60
