Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition

  • Shiqi Yu
  • Daoliang Tan
  • Tieniu Tan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3851)


In recent years, many gait recognition algorithms have been developed, but most of them depend on a specific view angle. However, view angle variation is a significant factor among those that affect gait recognition performance. It is important to find the relationship between the performance and the view angle. In this paper, we discuss the effect of view angle variation on appearance-based gait recognition performance. A multi-view gait database (124 subjects and 11 view directions) is created for our research. We propose two models, a geometrical one and a mathematical one, to model the effect of view angle variation on appearance-based gait recognition. These models will be valuable for designing robust gait recognition systems.


View Angle View Direction Outer Contour Fourier Descriptor Gait Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shiqi Yu
    • 1
  • Daoliang Tan
    • 1
  • Tieniu Tan
    • 1
  1. 1.National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina

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