Biological systems are by nature dynamic. Cell motility and migration are of fundamental importance to many biological processes. For instance, many disease processes depend heavily on the ability of cells to migrate through tissue and reach the bloodstream. It is highly desirable, therefore, to quantify their evolution through time to improve our understanding of their inner mechanisms. Because of its importance for basic cell biology and its medical implications, cell tracking is a very active field of research.

In this project the student will implement in Java one of the Bayesian tracking techniques (Kalman or particle filter), and couple it with the state-of-the-art active contour models to track different species of blob-like cells. The performance of the algorithm will be studied and compared to the state-of-the-art image processing techniques for cell tracking.