Face Detection in Video

摘要

The face is the most distinctive and widely used key to a person's identity. Face detection and facial feature extraction have attracted considerable attention in the advancement of human-machine interaction as it provides a natural and efficient way to communicate between humans and machines. The problem of detecting the faces and facial parts in image sequences has become a popular area of research due to emerging applications in human-computer interface, surveillance systems, secure access control, video conferencing, financial transaction, forensic applications, pedestrian detection, driver alertness monitoring systems, image databa management system ..etc. In this work we propose a new method for face detection in complex backgrounds. The proposed method is based on the linear discriminant analysis LDA technique. For the detection of a face, first, we use a skin color model and motion information. And then using the LDA technique the detected regions are verified to determine which region is indeed the face.