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dc.contributor.author김기범-
dc.date.accessioned2021-12-23T04:22:52Z-
dc.date.available2021-12-23T04:22:52Z-
dc.date.issued2021-01-
dc.identifier.citationSUSTAINABILITY, v. 13, No. 2, Article no. 970, 30ppen_US
dc.identifier.issn2071-1050-
dc.identifier.urihttps://www.mdpi.com/2071-1050/13/2/970-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/167032-
dc.description.abstractDue to the constantly increasing demand for automatic tracking and recognition systems, there is a need for more proficient, intelligent and sustainable human activity tracking. The main purpose of this study is to develop an accurate and sustainable human action tracking system that is capable of error-free identification of human movements irrespective of the environment in which those actions are performed. Therefore, in this paper we propose a stereoscopic Human Action Recognition (HAR) system based on the fusion of RGB (red, green, blue) and depth sensors. These sensors give an extra depth of information which enables the three-dimensional (3D) tracking of each and every movement performed by humans. Human actions are tracked according to four features, namely, (1) geodesic distanceen_US
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.titleModeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance Systemen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume13-
dc.identifier.doi10.3390/su13020970-
dc.relation.page1-30-
dc.relation.journalSUSTAINABILITY-
dc.contributor.googleauthorKhalid, Nida-
dc.contributor.googleauthorGochoo, Munkhjargal-
dc.contributor.googleauthorJalal, Ahmad-
dc.contributor.googleauthorKim, Kibum-
dc.relation.code2021042878-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY-
dc.identifier.pidkibum-
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