Automated cameraman
Author(s)
Khan, Yaser Mohammad![Thumbnail](/bitstream/handle/1721.1/61163/698462049-MIT.pdf.jpg?sequence=5&isAllowed=y)
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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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Show full item recordAbstract
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
2010Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.