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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3ED87M2
Repositorysid.inpe.br/sibgrapi/2013/07.03.00.18
Last Update2013:07.03.00.18.01 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.03.00.18.01
Metadata Last Update2022:06.14.00.07.41 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.38
Citation KeyDutraSouAlvSchOli:2013:RePeBa
TitleRe-identifying People based on Indexing Structure and Manifold Appearance Modeling
FormatOn-line.
Year2013
Access Date2024, Apr. 28
Number of Files1
Size10792 KiB
2. Context
Author1 Dutra, Cristianne Rodrigues Santos
2 Souza, Tiago
3 Alves, Raul
4 Schwartz, William Robson
5 Oliveira, Luciano
Affiliation1 Universidade Federal de Minas Gerais
2 Federal University of Bahia
3 Federal University of Bahia
4 Universidade Federal de Minas Gerais
5 Federal University of Bahia
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addresswilliam@dcc.ufmg.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-03 00:18:01 :: william@dcc.ufmg.br -> administrator ::
2022-06-14 00:07:41 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsPerson re-identification
bag-of-features
predominance filter
inverted lists
mean Riemann covariance
AbstractThe role of person re-identification has increased in the recent years due to the large camera networks employed in surveillance systems. The goal in this case is to identify individuals that have been previously identified in a different camera. Even though several approaches have been proposed, there are still challenges to be addressed, such as illumination changes, pose variation, low acquisition quality, appearance modeling and the management of the large number of subjects being monitored by the surveillance system. The present work tackles the last problem by developing an indexing structure based on inverted lists and a predominance filter descriptor with the aim of ranking candidates with more probability of being the target search person. With this initial ranking, a more strong classification is done by means of a mean Riemann covariance method, which is based on a appearance strategy. Experimental results show that the proposed indexing structure returns an accurate short-list containing the most likely candidates, and that manifold appearance model is able to set the correct candidate among the initial ranks in the identification process. The proposed method is comparable to other state-of-the-art approaches.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > Re-identifying People based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Re-identifying People based...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3ED87M2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3ED87M2
Languageen
Target Filepaper_CameraReady.pdf
User Groupwilliam@dcc.ufmg.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 9
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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