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Temporal PDMs for gait classification

Tassone, Ezra, West, Geoff and Venkatesh, Svetha 2002, Temporal PDMs for gait classification, in ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, IEEE, Los Alamitos, Calif., pp. 1065-1068, doi: 10.1109/ICPR.2002.1048489.

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Title Temporal PDMs for gait classification
Author(s) Tassone, Ezra
West, Geoff
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Conference on Pattern Recognition (16th : 2002 : Quebec, Canada)
Conference location Quebec, Canada
Conference dates 11-15 Aug. 2002
Title of proceedings ICPR 2002 : Proceedings of the International Conference on Pattern Recognition
Editor(s) Kasturi, R.
Laurendeau, D.
Suen, C.
Publication date 2002
Conference series International Conference on Pattern Recognition
Start page 1065
End page 1068
Total pages 4
Publisher IEEE
Place of publication Los Alamitos, Calif.
Keyword(s) classification of information
mathematical models
motion estimation
pattern recognition
pulse width modulation
Summary 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.
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.
ISBN 9780769516967
0769516963
ISSN 1051-4651
Language eng
DOI 10.1109/ICPR.2002.1048489
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2002, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044653

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.