Title:
Gait Volume : Spatio-Temporal Analysis of Walking

Author:
Yu Ohara, Ryusuke Sagawa, Tomio Echigo, Yasushi Yagi

Affiliation:
I.S.I.R. Osaka University

Address:
8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, JAPAN

Email:
{yu-o;sagawa;echigo;yagi}am.sanken.osaka-u.ac.jp

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Abstract:

This paper describes a new approach for identifying a person from a spatio-temporal volume that consists of sequential images of a person walking in an arbitrary direction. The proposed approach employs an omnidirectional image sensor and analyzes the three dimensional frequency properties of spatio-temporal volume, because the sensor can capture a long image sequence of a person's movements in all directions, and, as well, their walking patterns have some cycles. Spatio-temporal volume data, here called ``gait volume'', contain information not only of spatial individualities such as features of the torso and face, but also movements of their torso within a unique rhythm. Three dimensional fourier transform is applied to the gait volume to obtain a unique frequency for each person's walking pattern. This paper also evaluates the availability of three dimensional frequency analysis of the gait volume, how much is the difference in frequency patterns while walking.


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