An Integrated Fusion Engine for Early Threat Detection Demonstrated in Public-Space Trials

Counter terrorism is a huge challenge for public spaces. Therefore, it is essential to support early detection of threats, such as weapons or explosives. An integrated fusion engine was developed for the management of a plurality of sensors to detect threats without disrupting the flow of commuters. The system improves security of soft targets ...

Rapid person re-identification retraining strategy for flexible deployment in new environments

Person re-identification (Re-ID) can be used to find the owner of lost luggage, to find suspects after a terrorist attack, or to fuse multiple sensors. Common state-of-the-art deep-learning technology performs well on a large public dataset but it does not generalize well to other environments, which makes it less suitable for practical...

Video-based fusion of multiple detectors to counter terrorism

Automatische gedragsanalyse voor effectiever cameratoezicht in de openbare ruimte

To improve security in crowded environments, such as airports, shopping malls and railway stations, the number of surveillance cameras (CCTV) is rapidly increasing. However, the number of human operators remains limited and only a selection of the video streams can be observed. This makes it hard for an operator to be proactive. This paper gives...

EU FP7/ ARENA

The EU FP7 project ARENA addresses the design of a flexible surveillance system for detection and recognition of threats towards deployment on mobile critical assets such as trucks, trains, vessels and oil rigs..

Complex Threat Detection: Learning vs. Rules, using a Hierarchy of Features

Theft of cargo from a truck or attacks against the driver are threats hindering the day to day operations of trucking companies. In this work we consider a system, which is using surveillance cameras mounted on the truck to provide an early warning for such evolving threats. Low-level processing involves tracking people and calculating motion...

Instantaneous threat detection based on a semantic representation of activities, zones and trajectories

Threat detection is a challenging problem, because threats appear in many variations and differences to normal behaviour can be very subtle. In this paper, we consider threats on a parking lot, where theft of a truck’s cargo occurs. The theft takes place in very different forms, in the midst of many people who pose no threat. The threats range...

Threat Detection in Tweets with Trigger Patterns and Contextual Cues

Many threats in the real world can be related to activities in open sources on the internet. Early detection of threats based on internet information could assist in the prevention of incidents. However, the amount of data in social media, blogs and forums rapidly increases and it is time consuming for security services to monitor all these open...

Passive acoustic detection of closed-circuit underwater breathing apparatus in an operational port environment

Divers constitute a potential threat to waterside infrastructures. Active diver detection sonars are available commercially but present some shortcomings, particularly in highly reverberant environments. This has led to research on passive sonar for diver detection. Passive detection of open-circuit UBA (underwater breathing apparatus) has been...

Improving maritime situational awareness by fusing sensor information and intelligence

In present-day military security operations threats are more difficult to reveal than in conventional warfare theatres, since they take place during the course of normal life. These maritime missions often take place in littoral environments, where acts of piracy, drug trafficking and other threatening events become obscured in the crowd of...