Robust audio-visual person verification using Web-camera video
Author(s)Schultz, Daniel (Daniel T.)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Timothy J. Hazen and James R. Glass.
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This thesis examines the challenge of robust audio-visual person verification using data recorded in multiple environments with various lighting conditions, irregular visual backgrounds, and diverse background noise. Audio-visual person verification could prove to be very useful in both physical and logical access control security applications, but only if it can perform well in a variety of environments. This thesis first examines the factors that affect video-only person verification performance, including recording environment, amount of training data, and type of facial feature used. We then combine scores from audio and video verification systems to create a multi-modal verification system and compare its accuracy with that of either single-mode system.
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.Includes bibliographical references (p. 61-62).
DepartmentMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.