An assessment of the video analytics technology gap for transportation facilities
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...
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creator | Thornton, J. Baran-Gale, J. Yahr, A. |
description | 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. |
doi_str_mv | 10.1109/THS.2009.5168025 |
format | Conference Proceeding |
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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. 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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.</description><subject>Cameras</subject><subject>Content based retrieval</subject><subject>Data security</subject><subject>Monitoring</subject><subject>Personnel</subject><subject>Positron emission tomography</subject><subject>Protection</subject><subject>Surveillance</subject><subject>Testing</subject><subject>Transportation</subject><isbn>9781424441785</isbn><isbn>1424441781</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLAzEYRQMiKHX2gpv8gRnzfixLUSsURKzrkiZf2sh0MkyCMP_eAXsX93A3By5Cj5R0lBL7vN9-dYwQ20mqDGHyBjVWGyqYEIJqI-9QU8oPWSIkp4rfo8_1gF0pUMoFhopzxPUM-DcFyNgNrp9r8gVX8Och9_k045MbccwTrpMbypin6mrKA47Opz7VBOUB3UbXF2iuXKHv15f9ZtvuPt7eN-tdmyhnsg0RfAjBEiOPXDGiDedeRxUNl0CttyCUF9KZY9REC6bpsoMkTHFu9dIr9PTvTQBwGKd0cdN8uB7nf3etTiQ</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Thornton, J.</creator><creator>Baran-Gale, J.</creator><creator>Yahr, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200905</creationdate><title>An assessment of the video analytics technology gap for transportation facilities</title><author>Thornton, J. ; Baran-Gale, J. ; Yahr, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1325-dfecddd9085b36207833c7f6f835e19c9e46c45a8bf707427146cd50263397263</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Cameras</topic><topic>Content based retrieval</topic><topic>Data security</topic><topic>Monitoring</topic><topic>Personnel</topic><topic>Positron emission tomography</topic><topic>Protection</topic><topic>Surveillance</topic><topic>Testing</topic><topic>Transportation</topic><toplevel>online_resources</toplevel><creatorcontrib>Thornton, J.</creatorcontrib><creatorcontrib>Baran-Gale, J.</creatorcontrib><creatorcontrib>Yahr, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thornton, J.</au><au>Baran-Gale, J.</au><au>Yahr, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An assessment of the video analytics technology gap for transportation facilities</atitle><btitle>2009 IEEE Conference on Technologies for Homeland Security</btitle><stitle>THS</stitle><date>2009-05</date><risdate>2009</risdate><spage>135</spage><epage>142</epage><pages>135-142</pages><isbn>9781424441785</isbn><isbn>1424441781</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/THS.2009.5168025</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cameras Content based retrieval Data security Monitoring Personnel Positron emission tomography Protection Surveillance Testing Transportation |
title | An assessment of the video analytics technology gap for transportation facilities |
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