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Background Subtraction Framework for Mobile 3D Sensor Data

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dc.contributor.authorLee, Seongjo-
dc.contributor.authorCho, Seoungjae-
dc.contributor.authorNguyen Trong Hieu-
dc.contributor.authorPhuong Chu-
dc.contributor.authorCho, Kyungeun-
dc.date.accessioned2024-09-26T10:30:38Z-
dc.date.available2024-09-26T10:30:38Z-
dc.date.issued2017-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/24510-
dc.description.abstractThe latest developments in artificial intelligence and sensors have been stimulating research on intelligent service robots and self-driving car technology. Such service robots and self-driving cars must take actions according to the situation by detecting human beings or dynamic environments. This paper proposes a framework that eliminates the background area to facilitate detection of moving robots or vehicles in a dynamic environment. The approach proposed in this paper can eliminate the background at high speed by analyzing an accumulation of 3D data through parallel processing using the voxel data.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG SINGAPORE PTE LTD-
dc.titleBackground Subtraction Framework for Mobile 3D Sensor Data-
dc.typeArticle-
dc.publisher.location싱가폴-
dc.identifier.doi10.1007/978-981-10-3023-9_168-
dc.identifier.scopusid2-s2.0-85007292608-
dc.identifier.wosid000401115300168-
dc.identifier.bibliographicCitationADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, v.421, pp 1086 - 1090-
dc.citation.titleADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING-
dc.citation.volume421-
dc.citation.startPage1086-
dc.citation.endPage1090-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordAuthorBackground subtraction-
dc.subject.keywordAuthorMobile sensor platform-
dc.subject.keywordAuthor3D LIDAR-
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