Original Paper

Machine Vision and Applications

, Volume 19, Issue 1, pp 65-72

First online:

Tracking with general regression

  • W. W. MayolAffiliated withDepartment of Computer Science, University of Bristol Email author 
  • , D. W. MurrayAffiliated withDepartment of Engineering Science, University of Oxford

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Abstract

A method is developed to track planar and near-planar objects by incorporating a model of the expected image template distortion, and fitting the sampling region to pre-trained examples with general regression. The approach does not assume a particular form of the underlying space, allows a natural handling of occluding objects, and permits dynamic changes of the scale and size of the sampled region. The implementation of the algorithm runs comfortably in modest hardware at video-rate.

Keywords

Real-time tracking Non-parametric regression Kernel methods