A Method for Fast Capturing Human Face in Video Image Based on Color Features

Abstract

We propose a method to fast capture faces in video images, in order to make full use of the screening effect of color features, in order to find the face frame in the video image more quickly, in order to cut out the face in the picture containing the face information frame, filter out the background part, and in order to expand the facial recognition algorithm application method. The method is to use the color features of each frame of the video in the video image to screen the skin color. After screening, the image is sampled and counted. If the threshold is exceeded, it is judged whether it is a human face. When determining, the face is captured and output and the threshold is corrected according to the recognized face information; if the threshold is not exceeded, skip some frames and then prejudge the frames. Experiments on videos containing face information with more complex backgrounds prove that this method can quickly find frames containing face information, and can intercept faces from frames containing face information, saving some time, and it basically does not affect the accuracy of face capture.