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Robust audio-visual person verification using Web-camera video

Author(s)
Schultz, Daniel (Daniel T.)
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Timothy J. Hazen and James R. Glass.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
 
Includes bibliographical references (p. 61-62).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/37072
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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