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Applying Image Processing Algorithm to Dynamic Face Detection

An image processing algorithm is applied to detect dynamic human face. In this study, a Kalman filter algorithm is applied, which can track the dynamic human face. After the target image is captured, the pre-image processing is applied to enhance the saturation of image and the noise will be filtered out also. And then, one algorithm is applied to segment the image and extract the complexion by using color space transformation. The system can estimate the features in the detected image and choose the connected components in human face. Furthermore, the Kalman filter algorithm is applied to predict the dynamic coordinates of human face. Based on the experimental results, the proposed algorithm in this paper can detect the motion face efficiently.