2026-09-19T02:43:50Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/611632022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Christopher J. Terman.
Khan, Yaser Mohammad
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-02-23T14:22:42Z
2011-02-23T14:22:42Z
2010
2010
http://hdl.handle.net/1721.1/61163
698462049
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Advances in surveillance technology has yielded cameras that can detect and follow motion robustly. We applied some of the concepts learnt from these technologies to classrooms in an effort to come up with a system that would automate the process of capturing oneself on video without needing to resort to specialized hardware or any particular limitation. We investigate and implement several image differencing schemes to detect and follow motion of a simulated lecturer, and propose possible future directions for this project.
by Yaser Mohammad Khan.
M.Eng.
[73] p. (unpaged)
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.
Automated cameraman
Thesis
application/pdf
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Publication
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