Publikationen (37) Publikationen von MIGUEL GARCÍA SILVENTE

2024

  1. People detection on 2D laser range nder datausing deep learning and machine learning

    Proceedings of the XXIV Workshop of Physical Agents: September 5-6, 2024

2023

  1. Detecting and tracking using 2D laser range finders and deep learning

    Neural Computing and Applications, Vol. 35, Núm. 1, pp. 415-428

2019

  1. Using a deep learning model on images to obtain a 2D laser people detector for a mobile robot

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 476-484

2018

  1. Learning leg pattern using laser range finder in mobile robots

    Advances in Intelligent Systems and Computing (Springer Verlag), pp. 627-639

2014

  1. An overview of iris recognition: a bibliometric analysis of the period 2000–2012

    Scientometrics, Vol. 101, Núm. 3, pp. 2003-2033

  2. Eyelid detection method based on a fuzzy multi-objective optimization

    Computacion y Sistemas, Vol. 18, Núm. 1, pp. 65-78

  3. Leg detection and tracking for a mobile robot and based on a laser device, supervised learning and particle filtering

    Advances in Intelligent Systems and Computing

  4. Plataforma para la gestión integral de la calidad docente de un Departamento de Informática

    FECIES 2013: X Foro Internacional sobre Evaluación de la Calidad de la Investigación y de la Educación Superior

2012

  1. A new fuzzy based algorithm for solving stereo vagueness in detecting and tracking people

    International Journal of Approximate Reasoning, Vol. 53, Núm. 4, pp. 693-708

  2. Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework

    Computer Methods and Programs in Biomedicine, Vol. 107, Núm. 3, pp. 497-512

2010

  1. A fast Iris Location based on aggregating gradient approximation using QMA-OWA operator

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  2. Segmentation of cervical cell images using mean-shift filtering and morphological operators

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  3. Using stereo vision and fuzzy systems for detecting and tracking people

    Communications in Computer and Information Science

2008

  1. A multiple object tracking approach that combines colour and depth information using a confidence measure

    Pattern Recognition Letters, Vol. 29, Núm. 10, pp. 1504-1514

  2. Adaptive multi-modal stereo people tracking without background modelling

    Journal of Visual Communication and Image Representation, Vol. 19, Núm. 2, pp. 75-91