Video stabilization improves video quality by removing undesirable jitter. This paper proposes a new approach for video stabilization. We directly smooth the local trajectory matrix, obtained by complete trajectories, and every frame is smoothed in a separate local trajectory matrix, which is suitable for modeling the nonlinear video stream, and more effective than conventional methods based on feature trajectories. In addition, the coarse to fine outlier detection technology is applied to guarantee that the inlier feature points belong to background scenes. Finally, to make the image composition more fluent and authentic, we exploit the robust mesh transformation to warp the input frame based on the displacement of feature points. Experiments show that our method can generate comparable results with regard to some other state-of-the-art video stabilization methods.
['Zheng Zhao', 'Xiaohong Ma']
Video stabilization based on local trajectories and robust mesh transformation