Method and system for automated face detection and recognition

Abstract

The present invention relates to a figure recognition system and method for automatic detection, tracking and recognition of a human face image. 2D image data in the surveillance zone are remotely collected by using an optical sensor, the faces of all persons in the surveillance zone are detected, and corresponding positions are determined. The face is detected, the detected face's feature coordinate is estimated, and the detected face and the feature are tracked in the next frame while processing the video sequence. Image quality of each detected face is determined according to parameters of focus, brightness, contrast, and the presence of glasses. Recognition methods stored in the repository for each detected face are adjusted by considering the face image quality computation value, and a biometric feature set is generated by using the recognition method selected for each detected face. The figure is recognized according to the watch list by using the biometric feature generated by comparing each detected face and a template set stored in the database. A new user registration process is performed and the recognition method is adapted automatically by considering the watch list.