In this work we present an experimental evaluation of the exponential family Fisher vector (eFV) encoding applied to the problem of visual plant identification. We evaluate the performance of this model together with a ...

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 ...

One of the fundamental problems in image classification is to devise models that allow us to relate the images to higher-level semantic concepts in an efficient and reliable way. A widely used approach consists on extracting ...

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 ...

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 ...