Linearization to Nonlinear Learning for Visual Tracking

no code implementations • ICCV 2015 • Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli

Building on the theory of globally linear approximations to nonlinear functions, we introduce an elegant method that jointly learns a nonlinear classifier and a visual dictionary for tracking objects in a semi-supervised sparse coding fashion.

Descriptive Dictionary Learning +1