• Anomalous trajectory detection for automated traffic video surveillance 

      Fernández Rodríguez, Jose David; García-González, Jorge; Benitez-Rochel, Rafaela; Molina Cabello, Miguel Ángel; López-Rubio, Ezequiel; [et al.] (2022)
      Vehicle trajectories extracted from traffic video sequences can be helpful for many purposes. In particular, the analysis of detected anomalous trajectories may enhance drivers’ safety. This work proposes a methodology to ...
    • Background modeling by shifted tilings of stacked denoising autoencoders 

      García-González, Jorge; Ortiz-de-Lazcano-Lobato, Juan Miguel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-06-18)
      The effective processing of visual data without interruption is currently of supreme importance. For that purpose, the analysis system must adapt to events that may affect the data quality and maintain its performance level ...
    • Background modeling for video sequences by stacked denoising autoencoders 

      García-González, Jorge; Ortiz-de-Lazcano-Lobato, Juan Miguel; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Angel; 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 ...
    • Clasificación de imágenes de lesiones cutáneas mediante redes neuronales convolucionales y aprendizaje profundo 

      García Ciudad, Javier (2020-11-24)
      El cáncer de piel es el cuarto tipo de cáncer más común en el mundo, el primero en numerosos países y, además, se espera que su incidencia aumente en las próximas décadas. Gran parte de ellos presentan una mortalidad ...
    • Design of an artificial language for Human-Computer interaction. 

      García-González, Jorge (2017-03-29)
      This project has as objective to note motivations to search and develop an optimal general purpose artificial language with effective and not ambiguous human-machine communication objective in long term. Following this ...
    • Moving object detection in noisy video sequences using deep convolutional disentangled representations. 

      García-González, Jorge; Luque-Baena, Rafael Marcos; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (2022)
      Noise robustness is crucial when approaching a moving de- tection problem since image noise is easily mistaken for movement. In order to deal with the noise, deep denoising autoencoders are commonly proposed to be applied ...
    • Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks 

      García-González, Jorge; Molina-Cabello, Miguel Angel; Luque-Baena, Rafael Marcos; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (ELSEVIER, 2021-12)
      Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ...