• Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences 

      López-Rubio, Francisco Javier; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Dominguez, Enrique; Palomo, Esteban J. (2014-07-18)
      The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution ...
    • Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras 

      Benito Picazo, Jesús; Domínguez-Merino, Enrique; Palomo, Esteban J.; López-Rubio, Ezequiel; Ortiz-de-lazcano-Lobato, Juan Miguel (IEEE, 2018)
      Automatic video surveillance systems are usually designed to detect anomalous objects being present in a scene or behaving dangerously. In order to perform adequately, they must incorporate models able to achieve accurate ...
    • A new self-organizing neural gas model based on Bregman divergences 

      Palomo, Esteban J.; Molina-Cabello, Miguel A.; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos (2018-07-20)
      In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman ...