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Authors: Luis Antón-Canalís 1 ; Elena Sánchez-Nielsen 2 and Mario Hernández-Tejera 1

Affiliations: 1 Instituto de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Campus Universitario de Tafira, Spain ; 2 Universidad de La Laguna, Spain

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Computer Vision, Real Time Object Tracking, Swarm Intelligence.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: A new approach to solve the object tracking problem is proposed using a Swarm Intelligence metaphor. It is based on a prey-predator scheme with a swarm of predator particles defined to track a herd of prey pixels using the intensity of its flavours. The method is described, including the definition of predator particles’ behaviour as a set of rules in a Boids fashion. Object tracking behaviour emerges from the interaction of individual particles. The paper includes experimental evaluations with video streams that illustrate the robustness and efficiency for real-time vision based tasks using a general purpose computer.

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Paper citation in several formats:
Antón-Canalís, L.; Sánchez-Nielsen, E. and Hernández-Tejera, M. (2006). SWARMTRACK: A PARTICLE SWARM APPROACH TO VISUAL TRACKING.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 221-228. DOI: 10.5220/0001372002210228

@conference{visapp06,
author={Luis Antón{-}Canalís and Elena Sánchez{-}Nielsen and Mario Hernández{-}Tejera},
title={SWARMTRACK: A PARTICLE SWARM APPROACH TO VISUAL TRACKING},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={221-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001372002210228},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - SWARMTRACK: A PARTICLE SWARM APPROACH TO VISUAL TRACKING
SN - 972-8865-40-6
AU - Antón-Canalís, L.
AU - Sánchez-Nielsen, E.
AU - Hernández-Tejera, M.
PY - 2006
SP - 221
EP - 228
DO - 10.5220/0001372002210228

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