A Global Motion Estimation Algorithm Based on Background/Foreground Segmentation
Lei Xie · Microelectronics & Computer · 2006
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.