Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …

Learning from limited data in video surveillance is important for sustainable performance
while adapting to new information in a scene over time or adapting to a different scene. In a …

The impact of marine life on the oceans of our planet is undeniable and overfishing is a
serious threat to marine ecosystems worldwide. Maritime domain awareness calls for …

As commercial geospatial intelligence data becomes more widely available, algorithms
using artificial intelligence need to be created to analyze it. Maritime traffic is annually …

SeeCoast extends the US Coast Guard Port Security and Monitoring system by adding
capabilities to detect, classify, and track vessels using electro-optic and infrared cameras …

This paper aims to address the problem of behavioural anomaly detection in surveillance
videos. We propose a novel framework tailored towards global video behaviour anomaly …

Monitoring dynamic objects in surveillance applications is normally a demanding activity for
operators, not only because of the complexity and high dimensionality of the data but also …

SeeCoast is a prototype US Coast Guard port and coastal area surveillance system that
aims to reduce operator workload while maintaining optimal domain awareness by shifting …

The Abnormal Behavior Detection of Vessels (ABVD) is crucial for enhancing Vessels'
situational awareness as well as achieving effective management of maritime traffic …

In this paper, we propose a self configurable cognitive architecture for supervising video
data in manufacturing environments. The architecture supports weakly supervised learning …