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dc.contributor.advisorChristopher J. Terman.en_US
dc.contributor.authorKhan, Yaser Mohammaden_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-02-23T14:22:42Z
dc.date.available2011-02-23T14:22:42Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61163
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractAdvances 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.en_US
dc.description.statementofresponsibilityby Yaser Mohammad Khan.en_US
dc.format.extent[73] p. (unpaged)en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleAutomated cameramanen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc698462049en_US


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