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Publication - Professor Walterio Mayol-Cuevas

    Tracking with General Regression

    Citation

    Mayol-Cuevas, W & Murray, D, 2008, ‘Tracking with General Regression’. Machine Vision and Applications, vol 19 (1)., pp. 65 - 72

    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.

    Full details in the University publications repository