Tracking with general regression

Authors:
W. W. Mayol;D. W. Murray
Affiliations:
University of Bristol, Department of Computer Science, Woodland Road, BS8 1UB, Bristol, UK;University of Oxford, Department of Engineering Science, Parks Road, OX1 3PJ, Oxford, UK
Venue:
Machine Vision and Applications
Year:
2008

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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.