Abstract    Accurate estimation of motion from time-varying imagery has been a popular problem in vision studies, This information can be used in segmentation, 3D motion and shape recovery, target tracking, and other problems in scene analysis and interpretation. We have presented a dynamic image model for estimating image motion from image sequences, and have shown how the solution can be obtained from a set of partial differential equations. In this paper, we have investigated a relaxation type algorithm for obtaining a numerical solution to these equations, and considered the implementation of the algorithm on a variation of the general pipeline interconnection scheme using transputers. This architecture is compared against two others based on flexibility and efficiency. It is observed that with respect to computation, a mesh connected architecture has advantages over the proposed pipeline scheme. However, the pipeline configuration is easily expandable and more robust to changes in the algorithms parameters and image size.

Keywords    Vision. Image Motion, Optical Flow, Pipeline, Mesh

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