2026-09-18T22:31:25Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/370722022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Timothy J. Hazen and James R. Glass.
Schultz, Daniel (Daniel T.)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-04-03T17:08:36Z
2007-04-03T17:08:36Z
2006
2006
http://hdl.handle.net/1721.1/37072
83270861
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 61-62).
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.
by Daniel Schultz.
M.Eng.
62 p.
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Robust audio-visual person verification using Web-camera video
Thesis
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