Now showing items 1-7 of 7

    • A new approach for multi-view gait recognition on unconstrained paths 

      Madrid-Cuevas, F.J.; Carmona Poyato, Ángel; Muñoz-Salinas, Rafael; Medina-Carnicer, R.; López-Fernández, D. (2017)
      Direction changes cause di culties for most of the gait recognition systems, due to appearance changes. We propose a new approach for multi-view gait recognition, which focuses on recognizing people walking on unconstrained ...
    • Automatic learning of gait signatures for people identification 

      Castro, F.M.; Marín-Jiménez, M.J.; Guil, N.; Pérez de la Blanca, N. (2017-12-05)
      This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of ...
    • Entropy Volumes for Viewpoint Independent Gait Recognition 

      Medina-Carnicer, R.; Muñoz-Salinas, Rafael; López-Fernández, D.; Madrid-Cuevas, F.J.; Carmona Poyato, Ángel (2017-02-17)
      Gait as biometrics has been widely used for human identi cation. However, direction changes cause di culties for most of the gait recognition systems, due to appearance changes. This study presents an e cient multi-view ...
    • Fisher Motion Descriptor for Multiview Gait Recognition 

      Castro, F.M.; Muñoz Salinas, Rafael; Guil, N.; Marín-Jiménez, M.J. (2017)
      The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ...
    • Multi-view gait recognition on curved 

      López-Fernández, D.; Madrid-Cuevas, F.J.; Carmona Poyato, Ángel; Muñoz-Salinas, Rafael; Medina-Carnicer, R. (2017-12-11)
      Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ...
    • Pyramidal Fisher Motion for Multiview Gait Recognition 

      Medina-Carnicer, R.; Castro, F.M.; Marín-Pérez, M.J. (2017-01-17)
      The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ...
    • The AVA Multi-View Dataset for Gait Recognition 

      López-Fernández, D.; Madrid-Cuevas, F.J.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Carmona Poyato, Ángel (2018)
      In this paper, we introduce a new multi-view dataset for gait recognition. The dataset was recorded in an indoor scenario, using six convergent cameras setup to produce multi-view videos, where each video depicts a ...