Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20296

Title: Recognition of human periodic motion: a frequency domain approach
Authors: Li, Baihua
Holstein, Horst
Issue Date: 2002
Publisher: © IEEE
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
Abstract: 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.
Description: 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.
Version: Accepted version
DOI: 10.1109/ICPR.2002.1044700
URI: https://dspace.lboro.ac.uk/2134/20296
Publisher Link: http://dx.doi.org/10.1109/ICPR.2002.1044700
ISBN: 076951695X
ISSN: 1051-4651
Appears in Collections:Conference Papers and Presentations (Computer Science)

Files associated with this item:

File Description SizeFormat
Li-ICPR02.pdfAccepted version360.96 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.