• Background modeling for video sequences by stacked denoising autoencoders 

      García-González, Jorge; Ortiz-de-lazcano-Lobato, Juan Miguel; Luque-Baena, Rafael M.; Molina-Cabello, Miguel A.; López-Rubio, Ezequiel (2018-11-05)
      Nowadays, the analysis and extraction of relevant information in visual data flows is of paramount importance. These images sequences can last for hours, which implies that the model must adapt to all kinds of circumstances ...
    • Motion Detection by Microcontroller for Panning Cameras 

      Benito-Picazo, Jesús; López-Rubio, Ezequiel; Ortiz-de-lazcano-Lobato, Juan Miguel; Domínguez, Enrique; Palomo, Esteban J. (2017-07-24)
      Motion detection is the first essential process in the extraction of information regarding moving objects. The approaches based on background difference are the most used with fixed cameras to perform motion detection, ...
    • Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments 

      Molina-Cabello, Miguel Angel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Dominguez, Enrique; Palomo, Esteban José
      Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ...
    • Road pollution estimation using static cameras and neural networks 

      Molina-Cabello, Miguel A.; Luque-Baena, Rafael M.; López-Rubio, Ezequiel; Deka, Lipika; Thurnhofer-Hemsi, Karl (2018-07-19)
      Este artículo presenta una metodología para estimar la contaminación en carreteras mediante el análisis de secuencias de video de tráfico. El objetivo es aprovechar la gran red de cámaras IP existente en el sistema de ...