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    Listar por autor "Marín Jiménez, Manuel Jesús"

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      • An End-to-End Multi-Task and Fusion CNN for Inertial-Based Gait Recognition. 

        Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, JuliánAutoridad Universidad de Málaga; Marín Jiménez, Manuel Jesús; Guil-Mata, NicolásAutoridad Universidad de Málaga (IEEE, 2019)
        People identification using gait information (i.e., the way a person walks) obtained from inertial sensors is a robust approach that can be used in multiple situations where vision-based systems are not applicable. Typically, ...
      • Automatic Extraction of Biometric Descriptors Based on Gait 

        Delgado-Escaño, Rubén (UMA Editorial, 2023)
        Nowadays, people identification is a topic of interest due to its implications in terms of safety, service automation and sanitary control. Historically, people have been identified by using its face, iris, or fingerprints. ...
      • Deep multi-task learning for gait-based biometrics. 

        Marín Jiménez, Manuel Jesús; Castro, Francisco M.; Guil-Mata, NicolásAutoridad Universidad de Málaga; de la Torre, Fernando; Medina-Carnicer, Rafael (IEEE, 2017)
        The task of identifying people by the way they walk is known as `gait recognition'. Although gait is mainly used for identification, additional tasks as gender recognition or age estimation may be addressed based on gait ...
      • Energy-based tuning of convolution neural networks on multi-GPUs 

        Castro Payán, Francisco Manuel; Guil-Mata, NicolásAutoridad Universidad de Málaga; Marín Jiménez, Manuel Jesús; Pérez-Serrano, Jesús; Ujaldon-Martínez, ManuelAutoridad Universidad de Málaga (Wiley, 2019-11)
        Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their challenging computational requirements. Within ...
      • Fisher Motion Descriptor for Multiview Gait Recognition. 

        Castro, Francisco M.; Marín Jiménez, Manuel Jesús; Guil-Mata, NicolásAutoridad Universidad de Málaga; Muñoz-Salinas, Rafael (World Scientific, 2017)
        This paper aims to identify individuals by analyzing their gait using motion descriptors based on densely sampled short-term trajectories, instead of traditional binary silhouettes. The approach leverages advanced people ...
      • Gait recognition from multiple view-points 

        Castro Payán, Francisco Manuel (UMA Editorial, 2018-11-15)
        Arquitectura de Computadores Resumen tesis: La identificación automática de personas está ganando mucha importancia en los últimos años ya que se puede aplicar en entornos que deben ser seguros (aeropuertos, centrales ...
      • Multimodal Human Pose Feature Fusion for Gait Recognition. 

        Cubero, Nicolás; Castro Payán, Francisco Manuel; Ramos-Cózar, JuliánAutoridad Universidad de Málaga; Guil-Mata, NicolásAutoridad Universidad de Málaga; Marín Jiménez, Manuel Jesús (2023)
        Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or ...
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
         

         

        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA