A camera control based on fuzzy behavior recognition of lecturer for distance lecture

We describe a distance lecture support system using two cameras, which are a fixed view camera for image processing, and an active view camera for remote students, and propose a fuzzy camera control based on the behavior recognition of a lecturer. First, the silhouette of the lecturer is extracted from the input image of a fixed view camera. The parameters for behavior recognition of the lecturer such as face, body and hand are determined from the lecturer´s silhouette. A fuzzy reasoning system recognizes the lecturer´s behavior using the parameters. The active view area such as the portrait of the lecturer and the character strings on the blackboard is controlled by the fuzzy system automatically. The accuracy of the behavior recognition (70.4% for fuzzy reasoning and 55.2% for crisp reasoning) was obtained for the scenes of five lecturers.