Ara es mostren els items 31-36 de 36

    • Real-time logo detection in brand-related social media images 

      Orti, Oscar; Tous Liesa, Rubén; Gómez Parada, Mauro; Poveda, Jonatan; Cruz de la Cruz, Stalin Leonel; Wust, Otto (Springer, 2019)
      Text en actes de congrés
      Accés obert
      This paper presents a work consisting in using deep convolutional neural networks (CNNs) for real-time logo detection in brand-related social media images. The final goal is to facilitate searching and discovering ...
    • Region-based face detection, segmentation and tracking. framework definition and application to other objects 

      Vilaplana Besler, Verónica (Universitat Politècnica de Catalunya, 2010-12-17)
      Tesi
      Accés obert
      One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ...
    • Robust and real-time detection and tracking of moving objects with minimum 2d LiDAR information to advance autonomous cargo handling in ports 

      Vaquero Gómez, Víctor; Repiso Polo, Ely; Sanfeliu Cortés, Alberto (Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-29)
      Article
      Accés obert
      Detecting and tracking moving objects (DATMO) is an essential component for autonomous driving and transportation. In this paper, we present a computationally low-cost and robust DATMO system which uses as input only 2D ...
    • Unidimensional multiscale local features for object detection under rotation and mild occlusions 

      Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer, 2007)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows ...
    • Work-efficient parallel non-maximum suppression kernels 

      Oro García, David; Fernandez Tena, Carles; Martorell Bofill, Xavier; Hernando Pericás, Francisco Javier (Wiley Heyden, 2020-08-21)
      Article
      Accés obert
      In the context of object detection, sliding-window classifiers and single-shot convolutional neural network (CNN) meta-architectures typically yield multiple overlapping candidate windows with similar high scores around ...
    • Worst case execution time and power estimation of multicore and GPU software: a pedestrian detection use case 

      Rodríguez Ferrández, Iván; Jover Álvarez, Álvaro; Trompouki, Matina Maria; Kosmidis, Leonidas; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2023)
      Comunicació de congrés
      Accés obert
      Worst Case Execution Time estimation of software running on parallel platforms is a challenging task, due to resource interference of other tasks and the complexity of the underlying CPU and GPU hardware architectures. ...