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Proceedings Paper

Neural network target tracker
Author(s): Chiewcharn Narathong; Rafael M. Inigo
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Paper 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.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21161
Show Author Affiliations
Chiewcharn Narathong, Univ. of Wisconsin/Platteville (United States)
Rafael M. Inigo, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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