Abstract: In order to track facial feature points,according to the different features of different points,many methods are used to track.For the points on the brow,the authors use optical flow to track,and the authors also use Laplacian pyramid image replacing gray image as the input image to improve the tracking veracity. For the points on the mouth,the authors combine the optical flow with EBGM,using optical flow to get the position roughly and reduce searching area to accelerate the tracking speed.For the points on the eyelids, image binarization method is used.Then based on MPEG-4 mechanism,the authors clone the tracked motion data to an exaggerated character,which is automatically generated by the system according to a real face. Experiments show that the result is recreational.