基于背景前景分割的全局运动估计算法

A Global Motion Estimation Algorithm Based on Background/Foreground Segmentation

文章提出一种直接对压缩视频码流进行全局运动估计的新算法。为了提高估计精度和计算效率,提出一种新的视频背景前景分割方法,该算法利用运动矢量和AC系数实现背景与前景分割。基于分割的结果,采用背景宏块的运动矢量进行全局运动参数估计。实验验证了提出的全局运动估计算法的计算效率和精度。

In this paper, we propose a new method for the estimation of global motion from compressed image sequences. In order to improve accuracy and computational efficiency of global motion estimation, we present a new algorithm for segmentation between background and foreground,which make use of motion vectors and AC coefficients. Then, motion vectors samples associated with background macroblocks are selected to estimate motion model parameters. The extensive experiments show that the proposed method is efficient and robust in terms of both computational complexity and accuracy.