Automated cameraman
Name
698462049-MIT.pdf
Description
Full printable version
Size
7.83 MB
Format
Adobe PDF
Checksum (MD5)
087541e1075b14de49d8c2b229d022ef
Author(s)
Khan, Yaser Mohammad
Advisor(s)
Christopher J. Terman.
Date Issued
2010
Publisher
Massachusetts Institute of Technology
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.
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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.
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.
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