Security

Performance Evaluation of Vision-Based Gait Recognition Using a Very Large-Scale Gait Database

Free registration required

Executive Summary

This paper describes the construction of the largest gait database in the world and its application to a statistically reliable performance evaluation of vision-based gait recognition. Whereas existing gait databases include at most an order of a hundred subjects, the authors construct an even larger gait database which includes 1,035 subjects (569 males and 466 females) with ages ranging from 2 to 94 years. Because a sufficient number of subjects for each gender and age group are included in this very large-scale gait database, they can analyze the dependence of gait recognition performance on gender or age groups.

  • Format: PDF
  • Size: 680.2 KB