Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...
Periodicity is useful for compact representation of periodic motion and a reasonable selection of a proper temporal scale for periodic motion analysis. In this paper, we concern t...
Extremely crowded scenes present unique challenges to
video analysis that cannot be addressed with conventional
approaches. We present a novel statistical framework for
modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
In this contribution, we present an algorithm for lowcomplexity global motion estimation, that works with block-coded video (e.g. MPEG-2). A superimposed global motion model is fi...