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Recognition of human periodic motion: a frequency domain approach

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conference contribution
posted on 10.02.2016, 15:10 by Baihua LiBaihua Li, Horst Holstein
We present a frequency domain analysis technique for modelling and recognizing human periodic movements from moving light displays (MLDs). We model periodic motions by motion templates, that consist of a set of feature power vectors extracted from unidentified vertical component trajectories of feature points. Motion recognition is carried out in the frequency domain, by comparing an observed motion template with pre-stored templates. This method contrasts with common spatio-temporal approaches. The proposed method is demonstrated by some examples of human periodic motion recognition in MLDs.

History

School

  • Science

Department

  • Computer Science

Published in

Int. Conf. Pattern Recognition (ICPR'02)

Volume

1

Pages

311 - 314

Citation

LI, B. and HOLSTEIN, H., 2002. Recognition of Human Periodic Motion: a frequency domain approach. International Conference Pattern Recognition (ICPR'02), 11th-15th August 2002, Quebec City, Canada, vol. 1, pp.311-314

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2002

Notes

This is the accepted manuscript version of the paper. © 2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

076951695X

ISSN

1051-4651

Language

en

Location

Quebec City Canada

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