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Video ingress system for surveillance video querying

Author(s)
Sipser, Aaron(Aaron J.)
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Download1193030483-MIT.pdf (404.3Kb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Michael R. Stonebraker.
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MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Police departments struggle to review surveillance footage in an efficient manner. Finding a person matching certain characteristics requires manually scrolling through video feeds, potentially wasting hundreds of valuable man-hours solving crimes. SurvQ is a video query system which automates this process. Many existing systems are either too computationally intensive or only work on one type of camera. SurvQ, instead, focuses on a real time ingest system which supports arbitrary video sources (body cameras, dash cams, CCTV) at scale. It then uses a combination of cheap object detection, on-demand analysis, and priority ranking to efficiently analyze relevant video. We found this approach could scale to several hundred cameras in real time, suitable for the use-case of an entire police department in West Lafayette, IN.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
 
Cataloged from the official PDF of thesis.
 
Includes bibliographical references (pages 39-41).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/127525
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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  • Electrical Engineering and Computer Sciences - Master's degree
  • Electrical Engineering and Computer Sciences - Master's degree

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