Appearance-based Re-identification of People in Video

Khan, A; Zhang, J; Wang, Y

Appearance-based Re-identification of People in Video

Khan, A Zhang, J Wang, Y

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Publisher:: IEEE
Publication Type:: Conference
Citation:: Khan, Arif, Zhang, Jian, and Wang, Yang 2010, 'Appearance-based Re-identification of People in Video', IEEE, Piscataway, NJ, pp. 357-362.
Issue Date:: 2010

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Field	Value	Language
dc.contributor.author	Khan, A	en_US
dc.contributor.author	Zhang, J	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.editor	N/A	en_US
dc.date	20101201	en_US
dc.date.accessioned	2014-10-05T17:06:07Z
dc.date.available	2014-10-05T17:06:07Z
dc.date.issued	2010	en_US
dc.identifier	2013007323	en_US
dc.identifier.citation	Khan, Arif, Zhang, Jian, and Wang, Yang 2010, 'Appearance-based Re-identification of People in Video', IEEE, Piscataway, NJ, pp. 357-362.	en_US
dc.identifier.issn	978-1-4244-8816-2	en_US
dc.identifier.other	E1UNSUBMIT	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29988
dc.description.abstract	This paper introduces the topic of appearance-based re-identification of people in video. This work is based on colour information of people's clothing. Most of the work described in the literature uses full body histogram. This paper evaluates the histogram method and describes ways of including spatial colour information. The paper proposes a colour-based appearance descriptor called Colour Context People Descriptor. All the methods are evaluated extensively. The results are reported in the experiments. It is concluded at the end that adding spatial colour information greatly improves the re-identification results.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Verified OK	en_US
dc.relation.ispartof	2010 International Conference on Digital Image Computing - Techniques and Applications (DICTA'10)	en_US
dc.rights	© 2010 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.	en_US
dc.subject	N/A	en_US
dc.subject.classification	Artificial Intelligence and Image Processing	en_US
dc.title	Appearance-based Re-identification of People in Video	en_US
dc.type	Conference
utslib.location	Piscataway, NJ	en_US
utslib.citation.startpage	357	en_US
utslib.citation.endpage	362	en_US
utslib.identifier.org	FEIT.A/DRsch Advanced Analytics Institute	en_US
utslib.for	080100	en_US
utslib.percentage	100	en_US
utslib.citation.edition	DICTA	en_US
dc.location.activity	Sydney, NSW	en_US
utslib.copyright.status	closed_access

Abstract:

This paper introduces the topic of appearance-based re-identification of people in video. This work is based on colour information of people's clothing. Most of the work described in the literature uses full body histogram. This paper evaluates the histogram method and describes ways of including spatial colour information. The paper proposes a colour-based appearance descriptor called Colour Context People Descriptor. All the methods are evaluated extensively. The results are reported in the experiments. It is concluded at the end that adding spatial colour information greatly improves the re-identification results.

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

http://hdl.handle.net/10453/29988