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Tracking with General Regression

Walterio Mayol-Cuevas, David Murray, Tracking with General Regression. Machine Vision and Applications, 19(1). ISSN 09328092, pp. 65–72. January 2008. PDF, 596 Kbytes. External information

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.

Original paper available at www.springerlink.com DOI 10.1007/s00138-007-0087-x published online 26 June 2007

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