Anomalous event detection is of utmost importance in intelligent video surveillance.
Currently, most approaches for the automatic analysis of complex video scenes typically rely …

The ocean is experiencing unprecedented rapid change, and visually monitoring marine
biota at the spatiotemporal scales needed for responsible stewardship is a formidable task …

It is now common to quasi-automatically generate acoustic bathymetry and optical mosaics
from instrumented Autonomous Underwater Vehicles (AUVs). However, further analysis and …

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 …

Vessel behaviour analysis plays an important role in maritime situational awareness.
However, available technology still provides only limited approaches to vessel behaviour …

We present a framework for multi-camera video surveillance. The framework consists of
three phases: detection, representation, and recognition. The detection phase handles multi …

This work presents a novel framework providing the ability to control an Unmanned Aerial
System (UAS) while detecting objects in real-time with visible detections, containing class …

Recent advancements in deep learning and video analysis, combined with the efficiency of
contemporary computational resources, have catalyzed the development of advanced real …

Wide-area motion imagery (WAMI) sensors are placed on helicopters, balloons, small
aircraft, or unmanned aerial vehicles and are used to image small city-sized areas at …

Maritime anomaly detection requires an efficient representation and consistent knowledge of
vessel behaviour. Automatic Identification System (AIS) data provides ships state vector and …