Automated cameraman

Author(s)
Khan, Yaser Mohammad
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Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Christopher J. Terman.
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Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references.
 
Date issued
2010
URI
http://hdl.handle.net/1721.1/61163
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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