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Temporal PDMs for gait classification

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conference contribution
posted on 2002-01-01, 00:00 authored by E Tassone, G West, Svetha VenkateshSvetha Venkatesh
Gait classification is a developing research area, particularly with regards to biometrics. It aims to use the distinctive spatial and temporal characteristics of human motion to classify differing activities. As a biometric, this extends to recognising different people by the heterogeneous aspects of their gait. This research aims to use a modified deformable model, the temporal PDM, to distinguish the movements of a walking and miming person. The movement of 2D points on the moving form is used to provide input into the model and classify the type of gait present.

History

Pagination

1065 - 1068

Location

Quebec, Canada

Open access

  • Yes

Start date

2002-08-11

End date

2002-08-15

ISSN

1051-4651

ISBN-13

9780769516967

ISBN-10

0769516963

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2002, IEEE

Editor/Contributor(s)

R Kasturi, D Laurendeau, C Suen

Title of proceedings

ICPR 2002 : Proceedings of the International Conference on Pattern Recognition