info:eu-repo/semantics/article
Target tracking system using multiple cameras and bayesian estimation
Fecha
2016-06Registro en:
González Dondo, Diego; Redolfi, Javier Andrés; Griffa, Marti; Steiner, Guillermo Max; Canali, Luis Rafael; Target tracking system using multiple cameras and bayesian estimation; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2713-2718
1548-0992
CONICET Digital
CONICET
Autor
González Dondo, Diego
Redolfi, Javier Andrés
Griffa, Marti
Steiner, Guillermo Max
Canali, Luis Rafael
Resumen
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.