Matching Moving Objects by parts with a maximum likelihood criterion

Cheng, E; Piccardi, M

Matching Moving Objects by parts with a maximum likelihood criterion

Cheng, E Piccardi, M

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Publisher:: University of Auckland
Publication Type:: Conference Proceeding
Citation:: Proceedings of Image and Vision Computing New Zealand 2006, 2006, pp. 373 - 378
Issue Date:: 2006-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Cheng, E	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.contributor.editor	Delmas, P	en_US
dc.contributor.editor	James, J	en_US
dc.contributor.editor	Morris, J	en_US
dc.date	2006-11-27	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Proceedings of Image and Vision Computing New Zealand 2006, 2006, pp. 373 - 378	en_US
dc.identifier.isbn	9780473117924	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6741
dc.publisher	University of Auckland	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0452657
dc.relation.ispartof	Proceedings of Image and Vision Computing New Zealand 2006	en_US
dc.relation.ispartof	Image and Vision Computing Conference	en_US
dc.title	Matching Moving Objects by parts with a maximum likelihood criterion	en_US
dc.type	Conference Proceeding
utslib.location	New Zealand	en_US
utslib.location.activity	New Zealand	en_US
utslib.for	080104 Computer Vision	en_US
dc.location.activity	New Zealand	en_US
dc.location.activity	Sydney, Australia
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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	New Zealand	en_US
pubs.start-date	2006-11-27	en_US

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

http://hdl.handle.net/10453/6741