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Violence Detection for Video Surveillance System Using Irregular Motion Information

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dc.contributor.authorHa, Jinsol-
dc.contributor.authorPark, Jinho-
dc.contributor.authorKim, Heegwang-
dc.contributor.authorPark, Hasil-
dc.contributor.authorPaik, Joonki-
dc.date.accessioned2022-04-11T10:40:25Z-
dc.date.available2022-04-11T10:40:25Z-
dc.date.issued2018-01-
dc.identifier.issn2377-8431-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56205-
dc.description.abstractIn this paper, we proposed violence detection method in surveillance video system. The proposed method consists of 4 steps: i) Detect the object region within a video image by background subtraction method and apply the morphology filter to reduce noise artifacts. ii) Estimate the motion vector using the Combined Local-Global approach with Total Variation (CLG-TV) in the object region. iii) Detect the violence event by analyzing the characteristic of motion vectors generated in the region of object by using the Motion Co-occurrence Feature (MCF).-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleViolence Detection for Video Surveillance System Using Irregular Motion Information-
dc.typeArticle-
dc.identifier.doi10.23919/ELINFOCOM.2018.8330609-
dc.identifier.bibliographicCitation2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), v.2018-January, pp 363 - 365-
dc.description.isOpenAccessN-
dc.identifier.wosid000450093300110-
dc.identifier.scopusid2-s2.0-85048563263-
dc.citation.endPage365-
dc.citation.startPage363-
dc.citation.title2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)-
dc.citation.volume2018-January-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorViolence detection-
dc.subject.keywordAuthorHuman action analysis-
dc.subject.keywordAuthorVideo surveillance system-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.description.journalRegisteredClassscopus-
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첨단영상대학원 (영상학과)
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