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Human Gait Recognition Using Temporal Slices

  • Shruti Srivastava
  • Shamik Sural
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

Gait along with body structure has been recognized as a potential biometric feature for identifying human beings. The spatial and temporal shape of motion of an individual is usually the same for all gait cycles and is considered to be unique to that individual. In this paper we introduce a Temporal Slice based approach for gait recognition. Temporal Slices are a set of two-dimensional images extracted along the time dimension of an image volume. They encode a rich set of visual patterns for similarity measure and have been widely used for motion detection. We show that the features obtained from tensor histogram of these temporal slices can be efficiently used as gait features for recognition of human beings.

Keywords

Gait biometrics Temporal Slices Tensor Histogram Multiclass SVM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Shruti Srivastava
    • 1
  • Shamik Sural
    • 1
  1. 1.School of Information Technology, Indian Institute of Technology, KharagpurIndia

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