A Video Stabilization Algorithm based on Robust Mesh Grid Warping
Video stabilization is an important technology to remove annoying shaky motions from handheld videos. The hand held mobile cameras suffer from different undesired motions during video recording. The videos taken from hand held mobile cameras suffer from different undesired motions like track, boom or pan. Hence it is necessary to stabilize the video sequence, by removing the undesired motion between the successive frames. In this paper a video stabilization algorithm is proposed to get rid of unwanted camera motions. This paper proposes a method which extracts robust feature from the input video and then performs feature matching and tracking by KLT tracker. The feature trajectories obtained are then smoothed and finally a robust mesh grid warping algorithm is applied to stabilize the shaky video. Experimental results are provided and stabilization achieved is validated using quantitative measures such as Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM).These satisfactory experimental results demonstrate the effectiveness and robustness of proposed method.
Index terms - Feature Extraction, mesh grid warping, motion smoothing, video stabilization.