Real Time Face Detection

Abstract

In this paper, the difficulty of face detection in real time scenario is considered and an appropriate solution is being proposed for this problem. The proposed idea is to detect human face in color images. For this purpose, HSV color space is used in the experiments to detect faces. The proposed algorithm detects face in a real time video in two steps. In the first step, it applies statistical model to get H (Hue) and S (Saturation) ratios for skin region. Secondly, it applies these defined ratios for scene width and height to get approximation of face location in an image with respect to the detected skin region. Finally, an eye template matching algorithm is applied on the previous roughly detected skin region to verify the face from this region. The proposed model has been tested in real time environment with fairly acceptable performance.