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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Recognition of Human Periodic Motion — A Frequency Domain Approach
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Baihua Li, Horst Holstein, "Recognition of Human Periodic Motion — A Frequency Domain Approach," Pattern Recognition, International Conference on, vol. 1, pp. 10311, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1044700,
author = {Baihua Li and Horst Holstein},
title = {Recognition of Human Periodic Motion — A Frequency Domain Approach},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2002},
issn = {1051-4651},
pages = {10311},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044700},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Recognition of Human Periodic Motion — A Frequency Domain Approach
SN - 1051-4651
SP
EP
A1 - Baihua Li,
A1 - Horst Holstein,
PY - 2002
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Baihua Li, University of Wales
Horst Holstein, University of Wales
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 prestored templates. This method contrasts with common spatio-temporal approaches. The proposed method is demonstrated by some examples of human periodic motion recognition in MLDs.
Citation:
Baihua Li, Horst Holstein, "Recognition of Human Periodic Motion — A Frequency Domain Approach," icpr, vol. 1, pp.10311, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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