In this paper

we present a novel approach to segmenting moving objects from the H.264 compressed based on recursive shortest spanning tree(RSST). Firstly

the motion vector is obtained from the H.264 encoder and then a dense vector field is formed after the vector is unified and accumulated with a backward iterative projection process. Secondly

global motion compensation is used to eliminate the global motion. Thirdly

a modified RSST arithmetic is used to make the blocks clustered.Thus

with the proposed method we achieved moving object segmentation. Experimental results for several video sequences demonstrate the effectiveness of the proposed approach.