Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

Maritime transportation plays an essential role in global trade. Due to the huge number of
vessels worldwide, there is also a non-negligible volume of Maritime incidents such as …

Automated surveillance systems are becoming a critical requirement in maritime domain,
due to the continuous expansion of maritime security threats. Although several automated …

We propose an unsupervised procedure to automatically extract a graph-based model of
commercial maritime traffic routes from historical Automatic Identification System (AIS) data …

Recognizing ship behavior is important for maritime situation awareness and intelligent
transportation management. Some scholars extracted ship behaviors from massive …

The efficiency of maritime traffic management and the safety of ship navigation have become
top priorities. This study introduces a ship behavior recognition method that utilizes the …

A method for online incremental mining of activity patterns from the surveillance video
stream is presented in this paper. The framework consists of a learning block in which …

Automatic identification system (AIS) has been widely equipped on vessels for maritime
communication, positioning and traffic monitoring. The comprehensive data obtained by AIS …

Appropriate modeling of a surveillance scene is essential for the detection of anomalies in
road traffic. Learning usual paths can provide valuable insight into road traffic conditions and …

Optimized scene representation is an important characteristic of a framework for detecting
abnormalities on live videos. One of the challenges for detecting abnormalities in live videos …