Exploració per autor "Amézquita Gómez, Nicolás"

Ara es mostren els items 1-4 de 4

    • Combining neural networks and clustering techniques for object recognition in indoor video sequences 

      Serratosa, Francesc; Amézquita Gómez, Nicolás; Alquézar Mancho, René (2006-06)
      Report de recerca
      Accés obert
      This paper presents the results obtained in a real experiment for object recognition in a sequence of images captured by a mobile robot in an indoor environment. Objects are simply represented as an unstructured set of ...

    • Experimental assessment of probabilistic integrated object recognition and tracking methods 

      Serratosa Casanelles, Francesc; Amézquita Gómez, Nicolás; Alquézar Mancho, René (Springer Verlag, 2009)
      Text en actes de congrés
      Accés obert
      This paper presents a comparison of two classifiers that are used as a first step within a probabilistic object recognition and tracking framework called PIORT. This first step is a static recognition module that provides ...

    • Object recognition and tracking in video sequences: a new integrated methodology 

      Amézquita Gómez, Nicolás; Alquézar Mancho, René; Serratosa, Francesc (2006-06)
      Report de recerca
      Accés obert
      This paper describes a methodology that integrates recognition and segmentation, simultaneously with image tracking in a cooperative manner, for recognition of objects (or parts of them) in image sequences. A probabilistic ...

    • Tracking deformable objects and dealing with same class object occlusion 

      Alquézar Mancho, René; Amézquita Gómez, Nicolás; Serratosa Casanelles, Francesc (INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2009)
      Capítol de llibre
      Accés obert
      This paper presents an extension of a previously reported method for object tracking in video sequences to handle the problems of object crossing and occlusion by other objects in the same class that the one followed. The ...