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

^*Corresponding author for this work

Research output: Book chapter › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2005 European Conference on Circuit Theory and Design
Pages	77-80
Number of pages	4
DOIs	https://doi.org/10.1109/ECCTD.2005.1523064
Publication status	Published - 2005
Externally published	Yes
Event	2005 European Conference on Circuit Theory and Design - Cork, Ireland Duration: 28 Aug 2005 → 2 Sept 2005

Publication series

Name	Proceedings of the 2005 European Conference on Circuit Theory and Design
Volume	3

Conference

Conference	2005 European Conference on Circuit Theory and Design
Country/Territory	Ireland
City	Cork
Period	28/08/05 → 2/09/05

Access to Document

10.1109/ECCTD.2005.1523064

Cite this

@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, pp. 77-80, 2005 European Conference on Circuit Theory and Design, Cork, Ireland, 28/08/05. https://doi.org/10.1109/ECCTD.2005.1523064

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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