Gary Jacob, J. Alison Noble and Andrew Blake
Department of Engineering Science
Oxford University, Oxford OX1 3PJ, England.
{jacob, noble, ab}@robots.ox.ac.uk
In this paper we present an evaluation of a robust
visual image tracker on echocardiographic image sequences.
We show how the tracking framework can be customised
to define an appropriate shape-space that describes heart
shape deformations that can be learnt from a training
data set. We also investigate an energy-based temporal
boundary enhancement method to improve image feature measurement.
Preliminary results are presented demonstrating
tracking on real normal heart motion
data sequences and synthesised and real abnormal heart
motion data sequences.
We conclude by discussing some of our current research
efforts.