Open AccessBlink Detection Based on Pixel Fluctuation Ratio of Eye Image
Author(s) -
Dou Dou,
Zhaogong Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1453/1/012073
Subject(s) - pixel , grayscale , artificial intelligence , computer vision , computer science , support vector machine , image (mathematics) , landmark , point (geometry) , position (finance) , human eye , pattern recognition (psychology) , mathematics , geometry , finance , economics
In this paper, an algorithm of real-time eye blink monitoring using ordinary camera is proposed. This algorithm is based on pixel fluctuation ratio (FRP) of eye region image to detect eye blink. Position the eye area according to the facial landmark algorithm and then convert the image to a grayscale image. According to the point detected by the eye region in the grayscale image, the eye region is divided into three segments from the corner of the eye to the end of the eye. Calculate the value of the pixels in each segment, and find the partial image pixel value fluctuation ratio (FRP), and train the selected training samples with the support vector machine (SVM). We tested it on two data sets, and the blink detection algorithm achieved good results on both data sets.