Now showing items 1-2 of 2

  • Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri] 

    Authors:Özer, Sedat; Cirpan, Hakan Ali; Kabaoǧlu, Nihat
    Publisher and Date:(2006)
    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 ...

  • Support vector regression for surveillance purposes 

    Authors:Özer, Sedat; Cirpan, Hakan Ali; Kabaoǧlu, Nihat
    Publisher and Date:(Springer Verlag, 2006)
    This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. 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 to use dynamic model together as feature vectors and makes the hyperplane and the support vectors follow the changes in these features. The performance of the ...