Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7345
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Karabacak, Cesur | - |
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.contributor.author | Gürbüz, Ali Cafer | - |
dc.date.accessioned | 2021-09-11T15:56:32Z | - |
dc.date.available | 2021-09-11T15:56:32Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS | en_US |
dc.identifier.isbn | 978-1-4673-5563-6; 978-1-4673-5562-9 | - |
dc.identifier.issn | 2165-0608 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7345 | - |
dc.description.abstract | The availability of data sets on which signal processing techniques may be tested is critical to the development of human detection, identification, and classification algorithms. However, in many cases real radar data of the desired characteristics may be expensive or difficult to obtain. In this case, synthetic or simulated data is desired. Much of the simulated data used in publications is derived from the Boulic kinematic model. But, the Boulic model is only valid for walking and is not applicable to compute the micro-Doppler signatures of other human motions. The Carnegie Mellon University motion capture library includes data from a wide range of human activities and provides the time-varying position of body parts. In this work, this video motion capture data is used to generate the radar micro-Doppler signature for many human activities. Observations about the micro-Doppler signatures computed are also shared. | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2013 21St Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | radar | en_US |
dc.subject | human micro-Doppler | en_US |
dc.subject | simulation. | en_US |
dc.title | Radar Simulation of Human Micro-Doppler Signature From Video Motion Capture Data | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.authorid | 0000-0001-7487-9087 | - |
dc.authorid | 0000-0001-8923-0299 | - |
dc.identifier.wos | WOS:000325005300205 | en_US |
dc.identifier.scopus | 2-s2.0-84880898181 | en_US |
dc.institutionauthor | Gürbüz, Ali Cafer | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 21st Signal Processing and Communications Applications Conference (SIU) | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | tr | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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