Face Detection and Description Based on Video Structural Description Technologies

Abstract

Most face recognition and for monitoring and human – human-computer interaction (HCI) technology tracking system relies on the assumption that in the face of the positive view. Alternative method, the image of face angle to the direction of knowledge can improve performance based on non-frontal view technology. Human face location detection in the city plays an important role in the continuous application of the surveillance video, such as face recognition, face recognition, face a snapshot image screening to save storage capacity. In this chapter, we propose a method for human face location based on Haar features and LVQ technology. First, we performed the eye location based on Haar features. Then, we face image into binary image a number of maps and statistical information on the position of the eyes. After obtaining the statistical distribution of pixels, we based on LVQ neural network classifier classifies the face direction. Based on the results, our algorithm can detect up to 95%. Through the implementation of face direction, we can get the best upright frontal face image recognition and most distinctive quality for further application.