SWARMTRACK: A PARTICLE SWARM APPROACH TO VISUAL TRACKING

Luis Antón-Canalís, Elena Sánchez-Nielsen, Mario Hernández-Tejera

2006

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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