Using cameras for detecting hazardous or suspicious events has spurred new research for
security concerns. To make such detection reliable, researchers must overcome difficulties …

In this dissertation, we present vision based scene interpretation methods for monitoring of
people and vehicles, in real-time, within a busy environment using a forest of co-operative …

Maritime domain awareness is critical for protecting sea lanes, ports, harbors, offshore
structures like oil and gas rigs and other types of critical infrastructure against common …

Maritime security is critical for protecting sea lanes, ports, harborsand other critical
infrastructure against a broad range of threats and illegal activities like smuggling, human …

Automated visual surveillance systems are required to emulate the cognitive abilities of
surveillance personnel, who are able to detect, recognise and assess the severity of …

We have developed a suite of neurobiologically inspired algorithms for exploiting track data
to learn normal patterns of motion behavior, detect deviations from normalcy, and predict …

Existing algorithms for maritime threat detection employ a variety of normalcy models that
are probabilistic and/or rule-based. Unfortunately, they can be limited in their ability to model …

Automating the analysis of surveillance video footage is of great interest when urban
environments or industrial sites are monitored by a large number of cameras. As anomalies …

Rare behaviors indicate important events and situations in maritime surveillance
applications. State-of-the-art methods provide many effective solutions to detect anomalous …

This paper introduces the architecture and the implementation details, of an automatic real-
time video surveillance system, capable of autonomously detecting anomalous behavioural …