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This paper is mainly concerned with low-level processes in machine perception of motion. A motion analysis system should exploit information contained in ``early warning signals'' during the intensity based peripheral phase of motion perception. We show that intensity based difference pictures contain motion information about objects in a dynamic scene, and present methods for the extraction of motion information in the peripheral phase. Some experiments with laboratory generated and real world scenes demonstrate the potential of the technique.