Abstract
AbstractOptical flow (OF) estimation aims at derive a motion‐vector field that characterizes motions on a video sequence of images. In this paper, we propose a new multi‐scale (or scale‐space) algorithm that generates OF on cellular neural/non‐linear network universal machine, a general purpose analog‐VLSI hardware, at resolution of 128 × 128 with fair accuracy and working over a speed of 100 frames/s. The performance of the hardware implementation of the proposed algorithm is measured on a standard image sequence. As far as we are concerned, this is the first time when an OF estimator hardware is tested on a practical‐size standard image sequence. Copyright © 2006 John Wiley & Sons, Ltd.
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