Toward human motion search using fingerprinting

Adistambha, K; Davis, S; Ritz, CH; Stirling, D; Burnett, IS

Toward human motion search using fingerprinting

Adistambha, K Davis, S Ritz, CH Stirling, D Burnett, IS

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Publication Type:: Conference Proceeding
Citation:: 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 1033 - 1038
Issue Date:: 2012-12-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Adistambha, K	en_US
dc.contributor.author	Davis, S	en_US
dc.contributor.author	Ritz, CH	en_US
dc.contributor.author	Stirling, D	en_US
dc.contributor.author	Burnett, IS https://orcid.org/0000-0003-3795-7722	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 1033 - 1038	en_US
dc.identifier.isbn	9781467311571	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119533
dc.description.abstract	This paper investigates a 'fingerprinting' technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the search of human motion within large databases, similar to the fingerprinting approach used for the search of audio and image databases. This paper investigates the extraction of a reliable set of features from human motion capture data sequences that can be combined to generate a unique fingerprint. Results show that the fingerprints could be used to reliably differentiate between unique motions. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 International Symposium on Communications and Information Technologies, ISCIT 2012	en_US
dc.relation.isbasedon	10.1109/ISCIT.2012.6380843	en_US
dc.title	Toward human motion search using fingerprinting	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper investigates a 'fingerprinting' technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the search of human motion within large databases, similar to the fingerprinting approach used for the search of audio and image databases. This paper investigates the extraction of a reliable set of features from human motion capture data sequences that can be combined to generate a unique fingerprint. Results show that the fingerprints could be used to reliably differentiate between unique motions. © 2012 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119533