Image processing algorithms for eye movement monitoring

Image processing algorithms useful for the optical monitoring of eye movements have been developed and evaluated. Specifically, algorithms have been developed which track the positions of moving convex targets. Three search strategies are considered which make varying use of a priori knowledge of target position and require varying levels of random access to the image space. Results indicate that straightforward algorithms implemented with relatively slow microcomputers can yield sample rates well in excess of standard TV field rates.