Facial Feature Locating Algorithm Based on Inter-Frame-Differential and Skin Color-Space Segmentation

In this paper, we proposed a facial feature locating algorithm based on inter-frame-differential and skin color-space segmentation. First, we utilize the moving information to calculate the binary inter-frame differential image and extract edge and locate a gross position of the target. Secondly, we design the skin color model and use the color space transform to accurately locate human-face. using inter-frame-differential algorithm can remove possible disturbing background in complicate environment which is quite possible in application, Using skin-color can further restrict the interest region to face. Doing feature extraction after the two-step preprocessing could not only remove environmental noise and decrease false identification, but also, as it largely down-size the searching-area, it actually increased the total processing speed. The results of the applications show that based on inter-frame-differential and skin color-space algorithm is practical and efficient.