Dynamic Texture Based Gait Recognition

  • Vili Kellokumpu
  • Guoying Zhao
  • Stan Z. Li
  • Matti Pietikäinen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We show the suitability of the representation for gait recognition and test our method on a popular CMU MoBo dataset. We then compare our result to the state of the art methods.

Keywords

Gait recognition LBP-TOP multiresolution LBP uniform patterns 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Vili Kellokumpu
    • 1
  • Guoying Zhao
    • 1
  • Stan Z. Li
    • 2
  • Matti Pietikäinen
    • 1
  1. 1.Machine Vision GroupUniversity of OuluFinland
  2. 2.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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