Video Stabilization by Detecting Intentional and Unintentional Camera Motions

The omnipresence of handheld video devices has led to a drastic increase in the amount of videos created by non-professional users. The unwanted jitter caused by the unintentional motion of the video cameras is very common in such videos. In this paper, we present a technique for removing the unwanted jitter from the videos. Our technique is based on the estimation of camera motion parameters using optical flow features. The camera motion parameters are then used to differentiate between intentional and unintentional camera motion by detecting sharp changes in collective motion estimate curve. The experimental results indicate that our proposed methodology significantly improves the quality of the videos.