Abstract
The primate visual system recognizes the true direction of pattern motion using local detectors only capable of detecting the component of motion perpendicular to the orientation of the moving edge. A multilayered model is presented with input patterns (binary images) each consisting of rigid geometrical forms moving in a particular direction. Input layers are given component orientation and frequency similar to those recorded in visual area V1, which projects to area MT. The interaction between two consecutive layers of the multilayered model seem to play an important role in solving the aperture problem.
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