Thresholding to find the whites of the eyes.Unlike traditional image processing methods for computing blinks which typically involve some combination of: To build our blink detector, we’ll be computing a metric called the eye aspect ratio (EAR), introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
Today, we are going to build upon this knowledge and develop a computer vision application that is capable of detecting and counting blinks in video streams using facial landmarks and OpenCV. In last week’s blog post, I demonstrated how to perform facial landmark detection in real-time in video streams. Click here to download the source code to this post
