Fast Self-Motion Vector Estimation

E. Nakamura, I. Sugihara, and K. Sawada (Japan)


Self-motion, global motion, local motion, elementary mo tion detectors


This paper presents a fast self-motion estimation algorithm based on elementary motion detectors. Self-motion of a point object such as translational and rotational motions are estimated by detecting translational local motion vectors to appear in the image planes of speciļ¬c cameras among 3 cameras surrounding the point object in such a way that the adjacent cameras are aligned orthogonally. It has been found that the algorithm can estimate such self-motion at a video frame rate thanks to its low computational cost.

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