METHOD AND SYSTEM FOR AUTOMATED FACE DETECTION AND RECOGNITION

摘要

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.

主权项

1. A figure recognition method in a method for a biometric figure recognition system with a watch list to automatically detect, track, and recognize a face image of a figure, the method comprising:
a) remotely collecting 2D data in a monitoring area by using an optical sensor; b) detecting faces and face features of persons in the monitoring area, and determining positions thereof; c) finding a person and estimating the person's features coordinate; d) tracking the detected face and face features in a subsequent frame during a video sequence; e) estimating image quality of each detected person according to parameters of focus, brightness, contrast, and glasses wearing state; f) controlling recognition methods stored in a repository by considering face image quality values for the respective detected persons; g) forming biometric features of each detected person by using a selected recognition method; h) comparing each detected person and a template set stored in a database by using the formed biometric features to identify a figure according to a watch list; and i) registering a new user, and performing an automatic recognition method adaptation process by considering the watch list.