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A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI)

  • Toby H. W. Lam
  • Raymond S. T. Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

Recently, gait recognition for human identification has received substantial attention from biometrics researchers. Compared with other biometrics, it is more difficult to disguise. In addition, gait can be captured in a distance by using low-resolution capturing devices. In this paper, we proposed a new representation for human gait recognition which is called Motion Silhouettes Image (MSI). MSI is a grey-level image which embeds the critical spatio-temporal information. Experiments showed that MSI has a high discriminative power for gait recognition. The recognition rate is around 87% in SOTON dataset by using MSI for recognition. The recognition rate is quite promising. In addition, MSI can also reduce the storage size of the dataset. After using MSI, the storage size of SOTON has reduced to 4.2MB.

Keywords

Recognition Rate Kernel Principle Component Analysis High Discriminative Power Storage Size 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 2005

Authors and Affiliations

  • Toby H. W. Lam
    • 1
  • Raymond S. T. Lee
    • 1
  1. 1.Department of ComputingThe Hong Kong Polytechnic UniversityKowloon, Hong Kong

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