Machine Vision and Applications

, Volume 19, Issue 1, pp 65–72

Tracking with general regression

Authors

    • Department of Computer ScienceUniversity of Bristol
  • D. W. Murray
    • Department of Engineering ScienceUniversity of Oxford
Original Paper

DOI: 10.1007/s00138-007-0087-x

Cite this article as:
Mayol, W.W. & Murray, D.W. Machine Vision and Applications (2008) 19: 65. doi:10.1007/s00138-007-0087-x

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 trackingNon-parametric regressionKernel methods
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Copyright information

© Springer-Verlag 2007