NOVEL METHODS FOR HIGH-RESOLUTION FACIAL IMAGE CAPTURE USING CALIBRATED PTZ AND STATIC CAMERAS

摘要

In many machine vision applications, a set of static and Pan-Tilt-Zoom (PTZ) cameras are used to capture a sequence of high-resolution facial images of a moving person. In this paper, we present our implementation of such a system. We emphasis two novelties in our work; the first one is our efficient PTZ camera calibration technique using hand-drawn gridlines. The second one is our head position estimation technique using the Gaussian Mixture Model (GMM) and variance analysis of the foreground blob regions.