Support Vector Machines Based Target Tracking Techniques [destek Vektör Makineleri Tabanlı Hedef Takip Yöntemleri]

dc.contributor.author Özer, Sedat
dc.contributor.author Cirpan, Hakan Ali
dc.contributor.author Kabaoğlu, Nihat
dc.date.accessioned 2019-06-28T11:11:38Z
dc.date.available 2019-06-28T11:11:38Z
dc.date.issued 2006
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.department Yüksekokullar, Teknik Bilimler Meslek Yüksekokulu en_US
dc.description.abstract This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the regression form of the Support Vector Machines (SVM). The proposed approach considers using dynamic model together as feature vectors and makes the hyperplane and the support vectors follow the changes in these features. The performance of the tracker is demostrated in a sensor network scenario with a moving target in a polynomial route. © 2006 IEEE. en_US]
dc.identifier.citationcount 1
dc.identifier.doi 10.1109/SIU.2006.1659718 en_US
dc.identifier.isbn 1424402395
dc.identifier.isbn 9781424402397
dc.identifier.scopus 2-s2.0-34247127418 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1650
dc.identifier.uri https://doi.org/10.1109/SIU.2006.1659718
dc.identifier.volume 2006 en_US
dc.institutionauthor Kabaoğlu, Nihat en_US
dc.language.iso tr en_US
dc.relation.journal 2006 IEEE 14th Signal Processing and Communications Applications Conference en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 2
dc.title Support Vector Machines Based Target Tracking Techniques [destek Vektör Makineleri Tabanlı Hedef Takip Yöntemleri] en_US
dc.type Conference Object en_US
dspace.entity.type Publication

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Support vector machines based target tracking techniques.pdf
Size:
688.48 KB
Format:
Adobe Portable Document Format
Description: