Browsing by Contributor "Sayrol Clols, Elisa"

Now showing items 21-31 of 31

    • Person annotation in video sequences 

      Fernández-Pedraza Jorde, Carolina (Universitat Politècnica de Catalunya, 2019-05)
      Master thesis
      Open Access
      In the recent years, the demand for video tools to automatically annotate and classify large audiovisual datasets has increased considerably. One specific task in this field applies to TV broadcast videos, to determine who ...

    • Recognition of stores using computer vision methods 

      Ramírez Márquez, Alex (Universitat Politècnica de Catalunya, 2020-06)
      Bachelor thesis
      Open Access
      En els darrers anys, hi ha hagut una tend encia creixent dintre del DL en la detecci o d'objectes. Cada cop m es sorgeixen m es i millors models per a poder fer una detecci o m es precisa. Dintre d'aquest ambit, tamb e ...

    • Recognition of type of lane for micromobility vehicles using deep learning technologies 

      González López, Julio (Universitat Politècnica de Catalunya, 2014-06)
      Bachelor thesis
      Open Access
      The objective of this project is to design a lane type recognition system for personal mobility vehicles in the city, to increase the safety of users of this type of vehicle, generate possible data and statistics useful ...

    • Segmentation of fetal cerebral MRI using deep neural networks 

      Riera I Marín, Meritxell (Universitat Politècnica de Catalunya, 2020-10)
      Master thesis
      Open Access
      Covenantee:   IMT Atlantique
      Fetal magnetic resonance imaging (MRI) is used for monitoring and characterizing fetal brain development from the 18th gestational week to term since MRI, with its superior soft tissue contrast resolution, provides much ...

    • Seguiment de cares mitjançant Graph Cuts 

      Cañadas Arenas, Oriol (Universitat Politècnica de Catalunya, 2015-05-15)
      Bachelor thesis
      Open Access
      This project is about tracking of objects or regions in video sequences. There are many tracking techniques and we are going to focus on one of them to follow the participants of TV show’s faces. This work is a participation ...

    • Senyals i sistemes analògics : una introducció pràctica 

      Gasull Llampallas, Antoni (Edicions UPC, 2001)
      Book
      Restricted access to the UPC academic community
      Aquest material didàctic de caràcter experimental s'adreça a aquells alumnes que s'introdueixen en l'estudi dels senyals i els sistemes analògics tant en el domini temporal com en el de freqüència. Els seus continguts han ...

    • Senyals i sistemes analògics : una introducció pràctica 

      Gasull Llampallas, Antoni (Edicions UPC, 2002)
      Book
      Restricted access to the UPC academic community
      Aquest material didàctic de caràcter experimental s'adreça a aquells alumnes que s'introdueixen en l'estudi dels senyals i els sistemes analògics tant en el domini temporal com en el de freqüència. Els seus continguts han ...

    • Store classification using machine learning 

      Gispert Serrano, Sergi (Universitat Politècnica de Catalunya, 2020-06)
      Bachelor thesis
      Open Access
      In this project we have developed different image classification systems based on MachineLearning techniques. This work has implemented classifiers based on basic Machine Learning techniques as well as classifiers based ...

    • Target detection and tracking techniques applied to video and IR sequences 

      de Gibert Duart, Xavier (Universitat Politècnica de Catalunya, 2020-01)
      Bachelor thesis
      Restricted access - author's decision
      Covenantee:   Università di Pisa

    • Urban Sounds Classification using Deep Learning 

      Bolet Boixeda, Marti (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      Open Access

    • Very deep convolutional neural networks for face identification 

      Vilardi, Alessandro Luca (Universitat Politècnica de Catalunya, 2016-07)
      Master thesis
      Open Access
      The goal of this thesis is to evaluate the face identification problem using very deep convolutional neural networks. In recent years, the use of CNN, with a large amount of images in databases, have made the deep learning ...