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An analogic CNN algorithm for following continuously moving objects

A potential application of cellular neural networks (CNN) in adaptive control of a robot based on visual information is considered. The high processing speed of the network is used to provide real time processing. In this contribution an analogic CNN algorithm for following a moving object is shown. The algorithm was tested with the CNN infrastructure (CADETWin and CCPS).