Robust audio-visual person verification using Web-camera video
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2007
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| Online Access: | http://hdl.handle.net/1721.1/37072 |
| _version_ | 1826210242641264640 |
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| author | Schultz, Daniel (Daniel T.) |
| author2 | Timothy J. Hazen and James R. Glass. |
| author_facet | Timothy J. Hazen and James R. Glass. Schultz, Daniel (Daniel T.) |
| author_sort | Schultz, Daniel (Daniel T.) |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. |
| first_indexed | 2024-09-23T14:46:42Z |
| format | Thesis |
| id | mit-1721.1/37072 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:46:42Z |
| publishDate | 2007 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/370722019-04-11T05:21:36Z Robust audio-visual person verification using Web-camera video Schultz, Daniel (Daniel T.) Timothy J. Hazen and James R. Glass. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2007-04-03T17:08:36Z 2007-04-03T17:08:36Z 2006 2006 Thesis http://hdl.handle.net/1721.1/37072 83270861 eng 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 62 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Schultz, Daniel (Daniel T.) Robust audio-visual person verification using Web-camera video |
| title | Robust audio-visual person verification using Web-camera video |
| title_full | Robust audio-visual person verification using Web-camera video |
| title_fullStr | Robust audio-visual person verification using Web-camera video |
| title_full_unstemmed | Robust audio-visual person verification using Web-camera video |
| title_short | Robust audio-visual person verification using Web-camera video |
| title_sort | robust audio visual person verification using web camera video |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/37072 |
| work_keys_str_mv | AT schultzdanieldanielt robustaudiovisualpersonverificationusingwebcameravideo |