An assessment of the video analytics technology gap for transportation facilities
Name
Thornton-2009-An assessment of the video analytics technology gap for transportation facilities.pdf
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422.5 KB
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Author(s)
Thornton, Jason R.
Baran-Gale, Jeanette T.
Yahr, Aaron Z.
Date Issued
May 2009
Journal
IEEE Conference on Technologies for Homeland Security
Publisher
Institute of Electrical and Electronics Engineers
Citation
Thornton, J., J. Baran-Gale, and A. Yahr. “An Assessment of the Video Analytics Technology Gap for Transportation Facilities.” Technologies for Homeland Security, 2009. HST ’09. IEEE Conference On. 2009. 135-142. Copyright © 2009, IEEE
Version
Final published version
Abstract
We conduct an assessment of existing video analytic technology as applied to critical infrastructure protection, particularly in the transportation sector. Based on discussions with security personnel at multiple facilities, we assemble a list of desired video analytics functionality, which we group into five categories: low-level activity detection, high-level behavior detection, discrimination, tracking, and content retrieval. We then evaluate the capabilities and deficiencies of current technology to meet these needs, in part by applying representative video analytic tools to a testbed of video data from multiple sources. As part of the evaluation, we examine performance across pixel resolution of degrees of scene clutter. Finally, we identify directions for promising technology development in order to address critical gaps.
MIT Department
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/THS.2009.5168025
