Recognition of human periodic motion: a frequency domain approach
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
1Pages
311 - 314Citation
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.311-314Publisher
© IEEEVersion
- 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
2002Notes
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
076951695XISSN
1051-4651Publisher version
Language
- en
