@article{ZivkHeij2004,
author="Z.Zivkovic and F.van der Heijden",
title="Improving the selection of feature points for tracking", 
journal="Pattern Analysis and Applications",
volume=7,
number=2,
year=2004,
abstract="The problem considered here is how to select the feature points (in practice small image patches
are used) in an image from an image sequence, such that they can be tracked well further through
the sequence. Usually, tracking is performed by some sort of local search methods searching for a
similar patch in the next image from the sequence. Therefore, it would be useful if we could estimate
'the size of the convergence region' for each image patch. It is less likely to erroneously calculate
the displacement for an image patch with a large convergence region than for an image patch with a
small convergence region. Consequently, the size of the convergence region can be used as a proper
goodness measure for a feature point. For the standard Kanade-Lucas-Tomasi (KLT) tracking method
we propose a simple and fast method to approximate the convergence region for an image patch. In
the experimental part we test our hypothesis on a large set of real data."
}