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Abstract : |
Effective Human-to-Human communication involves both auditory and visual modalities, providing robustness and naturalness in realistic communication situations. Recent efforts at our lab are aimed at providing such multimodal capabilities for humanmachine communication. Most of the visual modalities require a stable image of a speaker's face. In this paper we propose a connectionist face tracker that manipulates camera orientation and zoom, to keep a person's face located at all times. The system operates in real time and can adapt rapidly to different lighting conditions, cameras and faces, making it robust against environmental variability. Extensions and integration of the system with a multimodal interface will be presented. 1, |
