Real-time full-frame digital image stabilization system by SURF

To overcome the undesirable shakes or jiggles of a camera and to implement the image stabilization in real time, a real-time full-frame video stabilization system based on the Speeded Up Robust Features (SURF) was proposed. Firstly, the SURF was employed to extract feature points, and the correspondence between the current and reference frame was established to get high precision local motion vector estimation. Secondly, by determining the reference frame update strategy, the smoothed interframe global motion vector was obtained. Finally, the corresponding pixels of the reference frame was filled with a stabilized frame to compensate the unstable motion and to output an stabilized full-frame video. Experimental results show that the real-time full-frame video stabilization system using SURF algorithm can provide the high accuracy (lower than 1 pixel) and short processing time (less than 30 ms). Moreover, it has a higher robustness on serious motion-blur and better image quality.