Operator theoretic methods for robust active vision problems

A key issue that must be addressed when deploying active vision systems in unstructured, potentially hostile environments is their fragility. As we show in this paper, robustness issues can be addressed by appealing to a common systems theoretic substrate to recast these problems into a tractable convex optimization form. These ideas are illustrated with experimental results from multiframe tracking, visual servoing and activity recognition.