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.
Tracking for a CNN Guided Robot / PAZIENZA, G. E.; GIANGROSSI, P.; TORTELLA, S.; BALSI, Marco; VILASS CARDONA, X.. - 3:(2005), pp. 77-80. (Intervento presentato al convegno European Conference on Circuit Theory and Design (ECCTD’05) tenutosi a Cork; Ireland nel 29/8-2/9/2005) [10.1109/ECCTD.2005.1523064].
Tracking for a CNN Guided Robot
BALSI, Marco;
2005
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
