A novel motion object detection method in H.264 compressed domain is proposed, based on multi-features accumulation and analysis, which can reflect the motion of object and change in the area of borders. Firstly, the MVs of macroblocks were accumulated and filtered. The Jacobian matrix was used to describe the relationship between parameters of global motion and MV in each macroblock, which makes the computation of global motion parameters easier than before. Then the motion areas were detected by the similarity of local motion and global motion. Secondly, the remarkable blocks of DCT energy were accumulated in temporal by the reliable motion around them. Then the border and texture area was found by the accumulations of DCT energy with the local self-adaptive threshold which selected by entropy. Finally, the results which had been detected by MV and DCT respectively were combined. The experiments shows that the method proposed can detect the motion object in compressed video accurately, and the result of can achieve good recall and precision simultaneously.