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Gait Recognition Based on Silhouette, Contour and Classifier Ensembles

  • M. Romero-Moreno
  • J. Fco. Martínez-Trinidad
  • J. A. Carrasco-Ochoa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)

Abstract

Gait Recognition is a non-invasive biometric technique for identifying persons through the way they walk. Currently there are many Gait Recognition methods, most of them based on a similarity function. In this paper, we propose two new methods for Gait Recognition based on silhouette and contour, using a classifier ensemble. Experimental results on a public standard database are shown and compared against others Gait Recognition methods.

Keywords

Computer vision Gait recognition Classifier ensembles 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • M. Romero-Moreno
    • 1
  • J. Fco. Martínez-Trinidad
    • 1
  • J. A. Carrasco-Ochoa
    • 1
  1. 1.Computer Science DepartmentINAOETonantzintlaMéxico

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