ARTIFICIAL IMMUNE FILTER FOR VISUAL TRACKING

Alejandro Carrasco E., Peter Goldsmith

Abstract

Visual tracking is an important part of artificial Vision for robotics. It allows robots to move towards a desired position using real world information. In this paper we present a novel particle filtering method for visual tracking, based on a clonal selection and a somatic mutation processes used by the natural immune system, which is excellent at identifying intrusion cells; antigens. This capability is used in this work to track motion of the object in a sequence of images.

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Paper Citation


in Harvard Style

Carrasco E. A. and Goldsmith P. (2007). ARTIFICIAL IMMUNE FILTER FOR VISUAL TRACKING . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-972-8865-83-2, pages 280-285. DOI: 10.5220/0001630102800285


in Bibtex Style

@conference{icinco07,
author={Alejandro Carrasco E. and Peter Goldsmith},
title={ARTIFICIAL IMMUNE FILTER FOR VISUAL TRACKING},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2007},
pages={280-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001630102800285},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - ARTIFICIAL IMMUNE FILTER FOR VISUAL TRACKING
SN - 978-972-8865-83-2
AU - Carrasco E. A.
AU - Goldsmith P.
PY - 2007
SP - 280
EP - 285
DO - 10.5220/0001630102800285