VIDEO ANALYTIC SURVEILLANCE

Details

Center Center of Excellence for Awareness and Localization of Explosives-Related Threats (ALERT)
Keyword
  • Video Analytics
  • Airport Security
  • Anomaly Detection
  • Transportation Security
  • Counter Terrorism
Documents
Link
Website ALERT Project Page
Contact alert-info@coe.neu.edu

Overview

Security officials must spot individuals who are wrongly attempting to enter secure areas amid a crush of passengers. Situations like this can result in an airport lockdown, potentially costing millions of dollars in shutdown-related response efforts and flight disruptions. To address this challenge, the Video Analytic Surveillance Transition (VAST) project is using advanced video analytics to detect "in-the-exit" events (e.g., someone moving against the flow of foot traffic to skip screening lanes to reach boarding gates through the exit lanes).

 THE TRANSPORTATION SECURITY ADMINISTRATION (TSA) OHIO SENIOR FEDERAL SECURITY DIRECTOR AND THE COMMISSIONER OF CLEVELAND HOPKINS INTERNATIONAL AIRPORT COLLABORATED WITH ALERT RESEARCHERS, SIEMENS CORPORATE RESEARCH, AND TSA PRACTITIONERS IN 2011 TO DEVELOP AND DEPLOY "IN-THE-EXIT" AT CLEVELAND HOPKINS INTERNATIONAL AIRPORT. THIS TESTBED DETECTED POTENTIAL VIOLATIONS AT A RATE OF 99% WITH AN AVERAGE OF ONLY FIVE FALSE ALARMS PER WEEK.

ALERT's partnership with Siemens enableD the VAST team to deliver a real-time, commercial-grade, alerter system to airport Transportation Security Officers. ALERT is currently partnering with Massport and Boston's Logan International Airport to leverage data sets for further refining of the VAST system and to develop other video analytics-based security solutions.