Robust audio-visual person verification using Web-camera video
Name
83270861-MIT.pdf
Description
Full printable version
Size
2.97 MB
Format
Adobe PDF
Checksum (MD5)
a295a2ad3fa67da216b49a8dd3693d8b
Author(s)
Schultz, Daniel (Daniel T.)
Advisor(s)
Timothy J. Hazen and James R. Glass.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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