Tracking for a CNN guided robot

Giovanni Egidio Pazienza, Pasqualino Giangrossi, Sebastià Tortella, Marco Balsi, Xavier Vilasís-Cardona

Research output: Book chapterConference contributionpeer-review

2 Citations (Scopus)

Abstract

Cellular Neural Networks (CNNs) are well suited for image processing due to the possibility of a parallel computation. In this paper we present an algorithm for tracking using CNNs. We successfully tested the algorithm on an autonomous robot guided using only real-time visual feedback; the image processing is performed entirely by a CNN system embedded in a DSP.

Original languageEnglish
Title of host publicationProceedings of the 2005 European Conference on Circuit Theory and Design
Pages77-80
Number of pages4
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 European Conference on Circuit Theory and Design - Cork, Ireland
Duration: 28 Aug 20052 Sept 2005

Publication series

NameProceedings of the 2005 European Conference on Circuit Theory and Design
Volume3

Conference

Conference2005 European Conference on Circuit Theory and Design
Country/TerritoryIreland
CityCork
Period28/08/052/09/05

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