Video Analytic Surveillance Transition Project (VAST)

Catching “Counter-Flow” Intruders in Airports with Video Anomaly Sensing Technology

An advanced video analytics technology may soon enable airports across the nation to avoid costly shutdowns and delays by detecting gate skippers before they enter secure areas. A testbed for this technology installed at Cleveland Hopkins International Airport (CLE) is detecting potential violations at a rate of 99.9 percent with an average of only five false alarms per week. The system enables airport security to use video analysis to detect “counter- ow” (e.g., someone moving against the  ow of foot traf c to skip screening lanes to reach boarding gates through the exit lanes). Working with airport officials, researchers from the Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence for Awareness and Localization of Explosives-Related Threats (ALERT) installed the testbed to provide real-time warning of counterflow in controlled access areas of the airport.

Automating the Identification and Tracking of Individuals Who Pose Threats to Airport Security

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.

The Video Analytic Surveillance Transition (VAST) project uses advanced video analytics to solve key technical challenges in detecting and tracking potential risks in vulnerable venues. This project is focusing on identifying counter- ow within a de ned area and tagging and tracking a person-of-interest moving through a defined space across multiple cameras. The system must identify an individual
within a single camera’s view as well as reidentify that same individual in each sequential camera’s view.

Providing the Tools to Solve Customer Problems

The VAST effort is addressing the needs of the Transportation Security Agency (TSA) to monitor and intercept threats by individuals to airport security. ALERT, the 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” and “tag-and-track” solutions at Cleveland Hopkins International Airport.

Potential Security and Safety Applications

  • Airport and Rail Platform Surveillance
  • Secure Area Monitoring
  • Detection of Abandoned or Suspicious Packages
  • Tracking or Locating a Person-of-Interest or a Missing Person

Next Steps

ALERT’s partnership with Siemens will enable 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.

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The Partnership

ALERT is led by Northeastern University (NEU) and includes three key academic strategic partners: Boston University, Purdue University, and University of Rhode Island (URI).

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