• English
    • Türkçe
  • English 
    • English
    • Türkçe
  • Login
View Item 
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Support vector machines based target tracking techniques

Thumbnail
View/Open
Support vector machines based target tracking techniques.pdf (688.4Kb)
Date
2006
Author
Özer, Sedat
Çırpan, Hakan Ali
Kabaoǧlu, Nihat
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.

Source

2006 IEEE 14th Signal Processing And Communications Applications, Vols 1 and 2

Pages

369-+

URI

https://hdl.handle.net/20.500.12469/1239
https://ieeexplore.ieee.org/document/1659718

Collections

  • Araştırma Çıktıları / WOS [1518]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [321]
  • Teknik Bilimler Meslek Yüksekokulu [6]

Share


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access TypesThis CollectionBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access Types

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV