Global motion estimation is one of the important research topics in video processing and computer vision.In this paper

a new approach for global motion estimation is proposed by combining the block motion vectors and pixel recursive algorithm. The proposed method first establishes a vector histogram based on the block motion vectors

and then finds the main block motion vector as initial global motion orientation

to set the initial motion parameters. The threshold of motion segmentation is obtained and outlier areas are adaptively eliminated by using the distance between motion vectors and the variance between clusters. One or two feature pixels in each background block are selected to estimate the global motion parameters according the gradient sum. Experimental results show that the proposed algorithm is accurate

fast

and efficient.