Facultad Regional Córdoba

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Author: search.filters.author.Redolfi, Javier

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    Identificación de hojas de plantas usando Vectores de Fisher.
    (Universidad Tecnológica Nacional Regional Córdoba., 2015) Redolfi, Javier; Sánchez, Jorge; Pucheta, Julián
    En este trabajo se propone el uso de descriptores locales codificados con el método de Vectores de Fisher para resolver el problema de clasificación de hojas de plantas usando imágenes. Se demuestra que con este enfoque se obtienen resultados de estado del arte en conjuntos de datos públicos, sin la necesidad de recurrir a la creación de nuevos descriptores visuales específicos para el problema, ni la necesidad de realizar ningún preprocesamiento de las imágenes a analizar.
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    Target tracking system using multiple cameras and bayesian estimation
    (IEEE LATIN AMERICA TRANSACTIONS, 2016) González Dondo, Diego; Redolfi, Javier; Griffa, M.; Steiner, Guillermo; Canali, Luis Rafael
    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.
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    Calibration of multi-camera systems
    (Journal of Intelligent & Robotic Systems, 2014) González Dondo, Diego; Trasobares, Fernando; Yoaquino, Leandro; Padilla, Julián; Redolfi, Javier
    —The use of multi-camera systems in target tracking applications demands to know positions and orientations of each one of the cameras in a global coordinate system. In this work is described the development and implementation of an extrinsic calibration method for multi camera systems. A theoretical analysis of each stage of the process is shown, pointing out methods and tools. Furthermore, a new calibration pattern is proposed. The validation is performed with simple experiments and in a real deployment of IP cameras.