title: Recognition of human head orientation based on artificial neural networks.
abstract: Humans easily recognize where another person is looking and often use this information for interspeaker coordination. We present a method based on three neural networks of the local linear map type which enables a computer to identify the head orientation of a user by learning from examples. One network is used for color segmentation, a second for localization of the face, and the third for the final recognition of the head orientation. The system works at a frame rate of one image per second on a common workstation, We analyze the accuracy achieved at different processing steps and discuss the usability of the approach in the context of a visual human-machine interface.
authors.affiliation: Neuroinformatics Group, Faculty of Technology, University of Bielefeld, D-33501 Bielefeld, Germany.
authors.forename: R
authors.initials: R
authors.lastname: Rae
authors.forename: H J
authors.initials: HJ
authors.lastname: Ritter