A novel approach for combined rotational and translational motion estimation using Frame Projection Warping

This paper introduces a novel video stabilization technique for combined rotational and translational motion using integral frame projections. In the proposed Frame Projection Warping (FPW) method, the normalized intensity projection curves of two consecutive frames are warped using dynamic time warping, to get the relative shift between them. Rotational and vertical motion estimation involves partitioning of frame in to two halves and their corresponding estimated motions are then utilized for respective rotational angle and vertical shift estimation. This technique uses the human perception for analyzing the rotation in terms of vertical displacement of two halves of frame. The proposed technique is tested over various hand recorded videos. The results show better performance of FPW over various existing intensity based techniques. This technique also gives better accuracy in case of frame blurring, which is a serious cause of wrong motion estimation. The performance of the proposed technique is measured in terms of interframe transformation fidelity and processing time.