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dc.contributor.author서원호-
dc.date.accessioned2019-12-11T06:12:05Z-
dc.date.available2019-12-11T06:12:05Z-
dc.date.issued2019-05-
dc.identifier.citationJOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, v. 63, No. 3, Article no. 030403en_US
dc.identifier.issn1062-3701-
dc.identifier.issn1943-3522-
dc.identifier.urihttps://www.ingentaconnect.com/content/ist/jist/2019/00000063/00000003/art00004-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/121228-
dc.description.abstractConstruction managers periodically take photographs of on-site resources such as materials and facilities to document various aspects of construction activities. Although digital images can be effectively used for monitoring construction activities, they are not used at all but to show the situation of the site by being attached on the report. In this regard, this study proposes a system and a smart helmet that help site managers identify changes in the conditions of facilities and materials. The smart helmet is equipped with a small camera to record videos around the site, and a small GPS to collect the position data of the site manager wearing the smart helmet. The system includes two separate frameworks-one for fixed resources and the other for mobile resources. The system automatically detects changes in appearance of fixed resources and in locations of mobile resources. The frameworks involve image matching methods which play critical roles in detecting appearance changes of fixed resources as well as cross-checking the identities of mobile resources. Experimental results signify the system's potential uses for effectively monitoring the conditions of on-site facilities and materials. (C) 2019 Society for Imaging Science and Technology.en_US
dc.description.sponsorshipThis work was supported by Incheon National University Research Grant in 2016.en_US
dc.language.isoen_USen_US
dc.publisherI S & T-SOC IMAGING SCIENCE TECHNOLOGYen_US
dc.titleDevelopment of Smart Helmet for Monitoring Construction Resources Based on Image Matching Methoden_US
dc.typeArticleen_US
dc.relation.no3-
dc.relation.volume63-
dc.identifier.doi10.2352/J.ImagingSci.Technol.2019.63.3.030403-
dc.relation.page1-10-
dc.relation.journalJOURNAL OF IMAGING SCIENCE AND TECHNOLOGY-
dc.contributor.googleauthorKang, Sanghyeok-
dc.contributor.googleauthorKim, Sungpyo-
dc.contributor.googleauthorChoi, Byounggil-
dc.contributor.googleauthorPark, Man-Woo-
dc.contributor.googleauthorSuh, Wonho-
dc.relation.code2019002174-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING-
dc.identifier.pidwonhosuh-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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