2026-09-19T16:35:10Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/612802022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ramesh Raskar.
Browarek, Sharmeen
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-02-23T14:41:02Z
2011-02-23T14:41:02Z
2010
2010
http://hdl.handle.net/1721.1/61280
702368984
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
Thermal imaging is powerful but expensive. This thesis presents an alternative thermal sensing system capable of tracking human motion by using a novel projection mechanism from an array of inexpensive single-bit thermal sensors. Since thermal sensor performance is currently limited by lengthy refractory periods, the motion tracking system is further developed in the visible spectrum to demonstrate a proof of concept. A single array of sensors is coupled with Gray-coded binary masks to spatially divide a room, allowing for the tracking of a moving persons location. By analyzing the output over time, a motion flow map is rendered and displayed in a software graphical user interface. The software is also capable of preliminary two-person motion tracking schemes. This overall system provides a low-cost alternative for privacy preserving activity monitoring, and generating alerts based on data anomalies, such as a break in motion pattern or an unusually low level of overall activity. Future hardware and software advancements will allow a full-scale motion tracking system to be developed.
by Sharmeen Browarek.
M.Eng.
89 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
High resolution, low cost, privacy preserving human motion tracking system via passive thermal sensing
Thesis
application/pdf
Publication
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unknown
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<Abstract>Thermal imaging is powerful but expensive. This thesis presents an alternative thermal sensing system capable of tracking human motion by using a novel projection mechanism from an array of inexpensive single-bit thermal sensors. Since thermal sensor performance is currently limited by lengthy refractory periods, the motion tracking system is further developed in the visible spectrum to demonstrate a proof of concept. A single array of sensors is coupled with Gray-coded binary masks to spatially divide a room, allowing for the tracking of a moving persons location. By analyzing the output over time, a motion flow map is rendered and displayed in a software graphical user interface. The software is also capable of preliminary two-person motion tracking schemes. This overall system provides a low-cost alternative for privacy preserving activity monitoring, and generating alerts based on data anomalies, such as a break in motion pattern or an unusually low level of overall activity. Future hardware and software advancements will allow a full-scale motion tracking system to be developed.</Abstract>
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