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 ...

Combatting fraud on travel, identity and breeder documents

It is important to combat fraud on travel documents (e.g., passports), identity documents (e.g., ID-card) and breeder documents (e.g., birth certificates) to facilitate the travel of bona-fide travelers and to prevent criminal cross-border activities, such as terrorism, illegal migration, smuggling, and human trafficking. However, it is...

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...

Authentication of travel and breeder documents

Authentication of travel documents (e.g., passports) and breeder documents (e.g., birth certificates) is important to facilitate legal movement of passengers and to prevent cross-border crime, such as terrorism, smuggling, illegal migration and human trafficking. However, it is time consuming and difficult to verify all security features, the...

Video-based fusion of multiple detectors to counter terrorism

Anonymized person re-identification in surveillance cameras

Person re-identification (Re-ID) is a valuable technique because it can assist in finding suspects after a terrorist attack. However, the machine learning algorithms for person Re-ID are usually trained on large datasets with images of many different people in a public space. This could pose privacy concerns for the people involved. One way to...

A triplet-learnt Coarse-to-Fine Reranking for Large Scale Vehicle Re-identification.

Vehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the...

Document anonymization for border guards and immigration services

The current capabilities and capacities of border guards and immigration services can be enhanced using technologies that automate the analysis of travel, identity and breeder documents in order to detect fraud. These technologies can be relevant for countering emerging threats in document and identity verification (e.g., forged documents,...

Fast and accurate person re-identification with xception conv-net and C2F

Person re-identification (re-id) is the task of identifying a person of interest across disjoint camera views in a multi-camera system. This is a challenging problem due to the different poses, viewpoints and lighting conditions. Deeply learned systems have become prevalent in the person re-identification field as they are capable to deal with...