This paper proposes a new face tracking system, which emphasizes on decreasing the face tracking computation complexity and manipulation procedure in face detection for a real time application. Face detection and camera servo motor control are two main parts of the face tracking system proposed. Face detection approach is based on image processing techniques. The techniques include discrete wavelet transformation (DWT) image data reducing, motion detection, edge detection, fast modified Hough transformation and face color detection by using probabilistic neural network (PNN). A two-dimensional fuzzy controller is used for the execution of camera servo motor control. It could make the camera fast and exactly detect the human face on its center. From the experimental results, such a face tracking system has shown its high potential in real applications.