Object tracking in MPEG compressed video using mean-shift algorithm

A new tracking scheme of an object in MPEG compressed domain is proposed in this paper. In the scheme, the motion flow for each macro block is obtained from the motion vectors included in the MPEG video stream, and the simple camera operation is robustly estimated using generalized Hough transform. Then, the global camera operation is used to compensate the motion flow to determine the object motions. The residual motion flow after compensation is treated as a feature of moving objects for tracking. In the paper, we used mean-shift algorithm based on the residual motion flow rather than color information as Meer did in the uncompressed video. The experimental results show the validity of the proposed scheme.