<title>Neural network target tracker</title>

Abstract

Real-time visual tracking is a difficult problem requiring high speed processing. We have previously reported a fast tracking algorithm (the Line Correlator Tracker (LCT) )12 capable of estimating displacement for a sequence of images using a conventional rectangular sensor. When used with a logarithmic-spiral sensor3, changes of scale can also be estimated. Although the algorithm can be implemented using sequential or parallel digital processing, a Hopfield-Tank (HT) network implementation is potentially simpler and faster.