Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46783
Title: Particle swarms as video sequence inhabitants for object tracking in computer vision
Authors: Antón-Canalís, Luis
Hernández Tejera, Mario 
Sánchez-Nielsen, Elena
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2006
Project: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Conference: 6th International Conference on Intelligent Systems Design and Applications (ISDA 2006) 
Abstract: A solution based on a swarm intelligence metaphor with a prey-predator scheme is proposed for real time object tracking in video sequences, which is a basic process in multiple computer vision tasks. Swarm predator particles fly on a Boid-like fashion over image prey pixels, using combined image features to guide individual movement rules. Object tracking emerges from interaction between predator particles and their environment. The paper includes method's description and experimental evaluations on video streams that illustrate the efficiency of swarm based methods in different vision tasks.
URI: http://hdl.handle.net/10553/46783
ISBN: 0-7695-2528-8
ISSN: 2164-7143
DOI: 10.1109/ISDA.2006.253905
Source: Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, v. 2 (4021732), p. 604-609
Appears in Collections:Actas de congresos
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