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In this paper, a novel filter for real-time object trackingfrom compressed domain is presented and evaluated. Thefilter significantly reduces the noisy motion vectors, that donot represent a real object movement, from Mpeg familycompressed videos. The filter analyses the spatial (neighborhood)and temporal coherence of block motion vectorsto determine if they are likely to represent true motion fromthe recorded scene. Qualitative and quantitative experimentsare performed displaying that the proposed spatiotemporalfilter (STF) outperforms the currently widelyused vector median filter. The results obtained with the spatiotemporalfilter make it suitable as a first step of any systemthat aims to detect and track objects from compressedvideo using its motion vectors.