PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 182
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorCho, Yeong-Junko
dc.contributor.authorYoon, Kuk-Jinko
dc.date.accessioned2018-05-24T02:22:36Z-
dc.date.available2018-05-24T02:22:36Z-
dc.date.created2018-03-29-
dc.date.created2018-03-29-
dc.date.issued2018-08-
dc.identifier.citationIEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.8, pp.3739 - 3752-
dc.identifier.issn1057-7149-
dc.identifier.urihttp://hdl.handle.net/10203/242220-
dc.description.abstractPerson re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although a significant progress has been made in person re-identification over the last decade, it remains a challenging task because the appearances of people can seem extremely different across diverse camera viewpoints and person poses. In this paper, we propose a novel framework for person re-identification by analyzing camera viewpoints and person poses called poseaware multi-shot matching. It robustly estimates individual poses and efficiently performs multi-shot matching based on the pose information. The experimental results obtained by using public person re-identification data sets show that the proposed methods outperform the current state-of-the-art methods, and are promising for accomplishing person re-identification under diverse viewpoints and pose variances.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectVIDEO-
dc.titlePaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification-
dc.typeArticle-
dc.identifier.wosid000430967600006-
dc.identifier.scopusid2-s2.0-85043757103-
dc.type.rimsART-
dc.citation.volume27-
dc.citation.issue8-
dc.citation.beginningpage3739-
dc.citation.endingpage3752-
dc.citation.publicationnameIEEE TRANSACTIONS ON IMAGE PROCESSING-
dc.identifier.doi10.1109/TIP.2018.2815840-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.nonIdAuthorCho, Yeong-Jun-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorPerson re-identification-
dc.subject.keywordAuthorperson pose-
dc.subject.keywordAuthormulti-shot matching-
dc.subject.keywordAuthorpose-aware matching method-
dc.subject.keywordAuthornon-overlapping cameras-
dc.subject.keywordPlusVIDEO-
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0