This paper presents a novel approach for object identification and steady tracking in mobile augmented reality applications. First, the system identifies the object of interest using the KAZE algorithm. Then, the target tracking is enabled with the optical flow throughout the camera instant video stream. Further, the camera pose is determined by estimating the key transformation relating the camera reference frame according to the world coordinate system. Therefore, the visual perception is augmented with 3D virtual graphics overlaid on target object within the scene images. Finally, experiments are conducted to evaluate the system performances in terms of accuracy, robustness and computational efficiency as well