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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1277-1281
M. Hunke , Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
A. Waibel , Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
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 human-machine communication. Most of the visual modalities require a stable image of a speaker's face. We propose a connectionist face tracker that manipulates camera orientation and room, 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 are presented.<>
INDEX TERMS
computer vision, user interfaces, man-machine systems, tracking, neural nets, face recognition, image classification, image colour analysis
CITATION

M. Hunke and A. Waibel, "Face locating and tracking for human-computer interaction," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1277-1281.
doi:10.1109/ACSSC.1994.471664
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