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An algorithm for robust motion detection in video is proposed in this work. The algorithm continuously analyses the dense pixel volume formed by the current frame and its nearest neighbours in time. By assuming continuity of motion in space and time, pixels on slanted edges in this timespace pixel volume are considered to be in motion. This is in contrast to prevailing foreground-background models...