Extraction and Description of Moving Human Body by Periodic Motion Analysis
Extraction and Description of Moving Human Body by Periodic Motion Analysis
We describe a new method for extraction and description of a moving human body by periodic motion analysis from image sequences. The moving human body is detected by background subtraction using an edge difference image with noise filtering. Then, histogram projection profiles of the edge difference image are used to determine the position of the human body. This method is improved by periodic motion analysis using projection profiles in a moving window. The periodicity of human gait motion is described by a gait state diagram and primitive during a gait cycle. The usefulness of proposed method is demonstrated in experiments with comparison of other methods.
1880843420
110-113
Yoo, Jang-Hee
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Nixon, Mark S.
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Harris, Chris J.
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April 2002
Yoo, Jang-Hee
cbfc2f5d-2a17-4f6d-a94c-788b5747fa7b
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Harris, Chris J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Yoo, Jang-Hee, Nixon, Mark S. and Harris, Chris J.
(2002)
Extraction and Description of Moving Human Body by Periodic Motion Analysis.
Proc. ISCA 17th International Conference on Computers and Their Applications.
.
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Abstract
We describe a new method for extraction and description of a moving human body by periodic motion analysis from image sequences. The moving human body is detected by background subtraction using an edge difference image with noise filtering. Then, histogram projection profiles of the edge difference image are used to determine the position of the human body. This method is improved by periodic motion analysis using projection profiles in a moving window. The periodicity of human gait motion is described by a gait state diagram and primitive during a gait cycle. The usefulness of proposed method is demonstrated in experiments with comparison of other methods.
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Published date: April 2002
Additional Information:
Organisation: ISCA
Venue - Dates:
Proc. ISCA 17th International Conference on Computers and Their Applications, 2002-04-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 256501
URI: http://eprints.soton.ac.uk/id/eprint/256501
ISBN: 1880843420
PURE UUID: 7383f995-1e1e-49b2-98a3-7ec303241d34
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Date deposited: 20 Nov 2003
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
Jang-Hee Yoo
Author:
Chris J. Harris
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