2026-09-19T09:06:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/296552022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Boris Katz.
McFarland, Alton Jerome, 1979-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-03-24T16:12:16Z
2006-03-24T16:12:16Z
2002
2002
http://hdl.handle.net/1721.1/29655
53711477
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (leaf 37).
As computers become more and more pervasive in our society, one of the problems that arises is how to efficiently integrate different types of systems and the information that they collect. Through cooperation between multi-modal systems, a much broader range of applications become available. In an attempt to attack this problem on a small scale, this project demonstrates the coupling of a natural language processing system to a camera-based person tracker for the purpose of being able to ask informally worded questions about what the tracker has observed in the MIT Intelligent Room.
by Alton Jerome McFarland.
M.Eng.
84 leaves
2572920 bytes
2572728 bytes
application/pdf
application/pdf
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.
An efficient representation for multi-application accessible visual information
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