In this latter category, we are trying to recover the motion of the human heart as it beats. Of particular recent interest, is the study of motion segmentation - how to break an image up into the parts corresponding to objects undergoing different motions. A significant factor in this research, of late, is the use of Robust Statistics . The major focus has shifted to segmentation to overcome the assumption that the flow is uniform in certain patches and on the selection of motion models . The domain encompasses both feature and contour based trackers.
Feature based trackers often rely on corner detection algorithms to detect candidate features.
This project aims to explore methods, particularly robust statistical methods, for motion model selection. It is a joint project with Assoc. A scholarship is to be awarded to one or more students to undertake this project as part of their PhD studies. The aims of the research were to find methods to calculate the splines efficiently and to explore the properties and applications of various PDE splines. Suter, D. and P.S. Richardson.