Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3410
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Şahin, Yaşar Güneri | - |
dc.contributor.author | Kabar A.O. | - |
dc.contributor.author | Saglam B. | - |
dc.contributor.author | Tek E. | - |
dc.date.accessioned | 2023-06-16T14:58:03Z | - |
dc.date.available | 2023-06-16T14:58:03Z | - |
dc.date.issued | 2011 | - |
dc.identifier.isbn | 9.78364E+12 | - |
dc.identifier.issn | 1865-0929 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-642-22389-1_37 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14365/3410 | - |
dc.description | Springer | en_US |
dc.description | International Conference on Digital Information Processing and Communications, ICDIPC 2011 -- 7 July 2011 through 9 July 2011 -- Ostrava -- 85472 | en_US |
dc.description.abstract | Detection of damaged buildings in case of an earthquake is a vital process for rapid response to casualties caused by falling debris before their health deteriorates. This paper presents a system for real time detection of damaged buildings in the case of an earthquake, using video cameras to supply information to national disaster management centers. The system consists of video cameras which monitor buildings continuously, an algorithm to detect damaged buildings rapidly using video images, and a database to store data concerning sound and damaged buildings. The detection method used in the system is applicable for local areas only (several small buildings or one big building), but it may provide accurate information about the buildings immediately after a disaster. © 2011 Springer-Verlag. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Communications in Computer and Information Science | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | decision making | en_US |
dc.subject | disaster management | en_US |
dc.subject | image processing | en_US |
dc.subject | Real time monitoring | en_US |
dc.subject | Detection methods | en_US |
dc.subject | disaster management | en_US |
dc.subject | Falling debris | en_US |
dc.subject | Rapid response | en_US |
dc.subject | Real time monitoring | en_US |
dc.subject | Real-time detection | en_US |
dc.subject | Video image | en_US |
dc.subject | Cameras | en_US |
dc.subject | Data processing | en_US |
dc.subject | Debris | en_US |
dc.subject | Decision making | en_US |
dc.subject | Disaster prevention | en_US |
dc.subject | Disasters | en_US |
dc.subject | Earthquakes | en_US |
dc.subject | Image processing | en_US |
dc.subject | Information management | en_US |
dc.subject | Video cameras | en_US |
dc.subject | Buildings | en_US |
dc.title | Real-time monitoring environment to detect damaged buildings in case of earthquakes | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1007/978-3-642-22389-1_37 | - |
dc.identifier.scopus | 2-s2.0-79960336446 | en_US |
dc.authorscopusid | 15119717900 | - |
dc.authorscopusid | 42962340000 | - |
dc.authorscopusid | 42962562000 | - |
dc.identifier.volume | 188 CCIS | en_US |
dc.identifier.issue | PART 1 | en_US |
dc.identifier.startpage | 419 | en_US |
dc.identifier.endpage | 425 | en_US |
dc.identifier.wos | WOS:000302374500037 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q4 | - |
dc.identifier.wosquality | N/A | - |
item.grantfulltext | reserved | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 05.04. Software Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Size | Format | |
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3410.pdf Restricted Access | 359.9 kB | Adobe PDF | View/Open Request a copy |
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