Tracking for a CNN guided robot

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

doi:10.1109/ECCTD.2005.1523064

Tracking for a CNN guided robot

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

^*Autor corresponent d’aquest treball

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

2 Cites (Scopus)

Resum

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.

Idioma original	Anglès
Títol de la publicació	Proceedings of the 2005 European Conference on Circuit Theory and Design
Pàgines	77-80
Nombre de pàgines	4
DOIs	https://doi.org/10.1109/ECCTD.2005.1523064
Estat de la publicació	Publicada - 2005
Publicat externament	Sí
Esdeveniment	2005 European Conference on Circuit Theory and Design - Cork, Ireland Durada: 28 d’ag. 2005 → 2 de set. 2005

Sèrie de publicacions

Nom	Proceedings of the 2005 European Conference on Circuit Theory and Design
Volum	3

Conferència

Conferència	2005 European Conference on Circuit Theory and Design
País/Territori	Ireland
Ciutat	Cork
Període	28/08/05 → 2/09/05

Accés al document

10.1109/ECCTD.2005.1523064

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Link to publication in Scopus

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@inproceedings{393d04ad262c44649a82139895adbd61,

title = "Tracking for a CNN guided robot",

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.",

author = "Pazienza, {Giovanni Egidio} and Pasqualino Giangrossi and Sebasti{\`a} Tortella and Marco Balsi and Xavier Vilas{\'i}s-Cardona",

year = "2005",

doi = "10.1109/ECCTD.2005.1523064",

language = "English",

isbn = "0780390660",

series = "Proceedings of the 2005 European Conference on Circuit Theory and Design",

pages = "77--80",

booktitle = "Proceedings of the 2005 European Conference on Circuit Theory and Design",

note = "2005 European Conference on Circuit Theory and Design ; Conference date: 28-08-2005 Through 02-09-2005",

}

Pazienza, GE, Giangrossi, P, Tortella, S, Balsi, M & Vilasís-Cardona, X 2005, Tracking for a CNN guided robot. in Proceedings of the 2005 European Conference on Circuit Theory and Design., 1523064, Proceedings of the 2005 European Conference on Circuit Theory and Design, vol. 3, pàg. 77-80, 2005 European Conference on Circuit Theory and Design, Cork, Ireland, 28/08/05. https://doi.org/10.1109/ECCTD.2005.1523064

Tracking for a CNN guided robot. / Pazienza, Giovanni Egidio; Giangrossi, Pasqualino; Tortella, Sebastià et al.
Proceedings of the 2005 European Conference on Circuit Theory and Design. 2005. pàg. 77-80 1523064 (Proceedings of the 2005 European Conference on Circuit Theory and Design; Vol. 3).

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

TY - GEN

T1 - Tracking for a CNN guided robot

AU - Pazienza, Giovanni Egidio

AU - Giangrossi, Pasqualino

AU - Tortella, Sebastià

AU - Balsi, Marco

AU - Vilasís-Cardona, Xavier

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33749028474&partnerID=8YFLogxK

U2 - 10.1109/ECCTD.2005.1523064

DO - 10.1109/ECCTD.2005.1523064

M3 - Conference contribution

AN - SCOPUS:33749028474

SN - 0780390660

SN - 9780780390669

T3 - Proceedings of the 2005 European Conference on Circuit Theory and Design

SP - 77

EP - 80

BT - Proceedings of the 2005 European Conference on Circuit Theory and Design

T2 - 2005 European Conference on Circuit Theory and Design

Y2 - 28 August 2005 through 2 September 2005

ER -

Tracking for a CNN guided robot

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