• 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 ...
    • Foreground detection enhancement using Pearson correlation filtering 

      Domínguez-Merino, Enrique (2018-06-08)
      Foreground detection algorithms are commonly employed as an initial module in video processing pipelines for automated surveillance. The resulting masks produced by these algorithms are usually postprocessed in order to ...
    • Vehicle Classification in Traffic Environments Using the Growing Neural Gas 

      Molina-Cabello, Miguel A.; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Ortiz-de-Lazcano-Lobato, Juan Miguel; Domínguez, Enrique; [et al.] (Springer, 2017)
      Traffic monitoring is one of the most popular applications of automated video surveillance. Classification of the vehicles into types is important in order to provide the human traffic controllers with updated information ...
    • Vehicle Type Detection by Convolutional Neural Networks 

      Molina-Cabello, Miguel A.; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (Springer, 2017)
      In this work a new vehicle type detection procedure for traffic surveillance videos is proposed. A Convolutional Neural Network is integrated into a vehicle tracking system in order to accomplish this task. Solutions for ...