Sistema de seguimiento de objetivos usando múltiples cámaras y estimación Bayesiana (Target Tracking System Using Multiple Cameras and Bayesian Estimation)

Diego Gonzalez Dondo (dgonzalezdondo@frc.utn.edu.ar)1, Javier Andres Redolfi (jredolfi@frc.utn.edu.ar)2, Martín Griffa (martingriffacba@gmail.com)3, Guillermo Max Steiner (gsteiner@scdt.frc.utn.edu.ar)3, Luis Rafael Canali (lcanali@scdt.frc.utn.edu.ar)3


1CIII - Universidad Tecnologica Nacional, Facultad Regional Córdoba
2CONICET. CIII- Universidad Tecnologica Nacional, Facultad Regional Córdoba
3CIII- Universidad Tecnologica Nacional, Facultad Regional Córdoba

This paper appears in: Revista IEEE América Latina

Publication Date: June 2016
Volume: 14,   Issue: 6 
ISSN: 1548-0992


Abstract:
In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.

Index Terms:
Target Tracking, Particle Filter, Camera Network,   


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