Moving camera video stabilization based on Kalman filter and least squares fitting

In order to remove the jitter of digital video recorded by moving camera, this paper adopted Kalman filtering algorithm and least squares fitting algorithm to remove the motion of unwanted jitter and retain the motion of moving camera. Then we compared the two algorithms through experiments. Experimental results showed that both algorithms had good stabilization effects to smooth videos recorded by moving cameras and they can be applied in different occasions.