Compositional interaction descriptor for human interaction recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Nam-Gyu | - |
dc.contributor.author | Park, Se-Ho | - |
dc.contributor.author | Park, Jeong-Seon | - |
dc.contributor.author | Park, Unsang | - |
dc.contributor.author | Lee, Seong-Whan | - |
dc.date.accessioned | 2021-09-02T21:58:44Z | - |
dc.date.available | 2021-09-02T21:58:44Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-12-06 | - |
dc.identifier.issn | 0925-2312 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/81206 | - |
dc.description.abstract | In this paper, we address the problem of human interaction recognition. We propose a novel compositional interaction descriptor to represent complex human interactions containing high intra and inter-class variations. The compositional interaction descriptor represents motion relationships on individual, local, and global levels to build a highly discriminative description. We evaluate the proposed method using UT-Interaction and BIT-Interaction public benchmark datasets. Experimental results demonstrate that the performance of the proposed approach is on a par with previous methods. (C) 2017 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.subject | REPRESENTATION | - |
dc.subject | PREDICTION | - |
dc.subject | MODEL | - |
dc.title | Compositional interaction descriptor for human interaction recognition | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Seong-Whan | - |
dc.identifier.doi | 10.1016/j.neucom.2017.06.009 | - |
dc.identifier.scopusid | 2-s2.0-85021189850 | - |
dc.identifier.wosid | 000409285400014 | - |
dc.identifier.bibliographicCitation | NEUROCOMPUTING, v.267, pp.169 - 181 | - |
dc.relation.isPartOf | NEUROCOMPUTING | - |
dc.citation.title | NEUROCOMPUTING | - |
dc.citation.volume | 267 | - |
dc.citation.startPage | 169 | - |
dc.citation.endPage | 181 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordPlus | REPRESENTATION | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | Human interaction recognition | - |
dc.subject.keywordAuthor | Compositional interaction descriptor | - |
dc.subject.keywordAuthor | Human motion analysis | - |
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