Gait Identification Based on Multi-view Observations Using Omnidirectional Camera

  • Kazushige Sugiura
  • Yasushi Makihara
  • Yasushi Yagi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4843)


We propose a method of gait identification based on multi-view gait images using an omnidirectional camera. We first transform omnidirectional silhouette images into panoramic ones and obtain a spatio-temporal Gait Silhouette Volume (GSV). Next, we extract frequency- domain features by Fourier analysis based on gait periods estimated by autocorrelation of the GSVs. Because the omnidirectional camera makes it possible to observe a straight-walking person from various views, multi-view features can be extracted from the GSVs composed of multi-view images. In an identification phase, distance between a probe and a gallery feature of the same view is calculated, and then these for all views are integrated for matching. Experiments of gait identification including 15 subjects from 5 views demonstrate the effectiveness of the proposed method.


False Alarm Rate Azimuth Angle Gait Feature Gait Recognition Omnidirectional Image 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Kazushige Sugiura
    • 1
  • Yasushi Makihara
    • 1
  • Yasushi Yagi
    • 1
  1. 1.Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047Japan

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