The visual acts model for automated camera placement: further results and analysis

The visual acts theory aims to provide intelligent assistance for camera viewpoint selection during teleoperation. It combines a top-down model to partition a task into a sequence of operations and a bottom up component that monitors the operator in order to select task-relevant camera viewpoints in a timely manner for the operator. In a previous paper the authors (2001) presented results showing that visual acts does indeed provide a camera view of sufficient quality to allow an operator to complete a task. In this paper we present further results that bear on the performance of visual acts. The results provide further insights into the provision of operator controls for teleoperation and the role of additional cues, such as shadows, in task completion.