Abstract. Motion tracking is an important application in video processing. By tracking motion, we can detect the presence of moving object, track and analyze the motion of object and even make prediction of the next step of a selected object. Motion tracking can be applied to facial recognition, intelligent transportation system, medical imaging and so on. Mean average error is a main step in motion tracking which set a reference block in the former frame and compare it with every block having the same size within a selected searching area in the next frame. In addition, hexagonal pixel based images have been recently investigated for image capture and processing due to their ability to represent curved structures that are common in real images better than traditional rectangular pixel based images. Therefore, we present an approach to mean average error on hexagonal images and demonstrate that accuracy is comparable rectangular pixel based images.