Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46782
Title: Swarmtrack: a particle swarm approach to visual tracking
Authors: Antón Canalís,Luis 
Sánchez-Nielsen, Elena
Hernández Tejera, Mario 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Computer vision
Real time object tracking
Swarm intelligence
Issue Date: 2006
Project: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
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.
URI: http://hdl.handle.net/10553/46782
ISBN: 978-972-8865-40-5
Source: VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications, february, 25-28, 2006, in Setúbal, Portugal [ISBN 972-8865-40-6], v. 2, p. 221-228
Appears in Collections:Actas de congresos
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