We use the term HCI in a very broad sense to include communication between person and computer as well as communication between persons via computer. An example of the former is a person using a workstation, an example of the latter is tele-collaboration. We are developing algorithms for segmenting still and moving images using multiple cues including color and motion. We are concentrating on images of outdoor scenes in the context of applications to autonomous navigation. The goal is to explore and develop concepts, methodologies, and techniques that will be useful for a wide class of non rigid objects.
Special attention is paid to motion modeling.
This research aims at generating new technologies for nondestructive evaluation of damage of large structures such as bridges and domes. The structure is loaded dynamically, and the locations and movements of point and edge features on the structure are measured by CCD cameras. The damage is inferred from the measured data. This project investigates how the learning process in adaptive digital filters is disturbed by hardware failures and how to design filters and adaptive algorithms that can continue operating in the presence of such failures. Because adaptive systems are capable of adjusting system parameters to reduce a specified error criterion, it has been shown that whenever a hardware failure occurs that increases the error, the system will attempt to compensate for this failure by further self-adjustment.