Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We present such a system using the Run-Time Event Calculus, a composite event recognition system with formal, declarative semantics. For effective recognition, we developed a library of maritime patterns in close collaboration with domain experts. We present a thorough evaluation of the system and the patterns both in terms of predictive accuracy and computational efficiency, using real-world datasets of vessel position streams and contextual geographical informatio
This paper describes a new multimodal maritime dataset recorded using a multispectral suite of sens...
International audienceOver the last years, the maritime sector has seen an important increase in dig...
Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the ...
Abstract—Maritime monitoring is a typical Big Data prob-lem where hundreds of thousands of vessels a...
The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ...
Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of ...
We present a system for online monitoring of maritime activity over streaming positions from numerou...
We present a Maritime Situational Awareness (MSA) framework for detecting and forecasting maritime e...
Maritime Domain Awareness is critical for protecting sea lanes, ports, harbors, offshore structures ...
Contemporary applications require the processing of large, high-velocity streams of symbolic events ...
Maritime Situational Awareness aims at monitoring maritime activities and ensuring safety and securi...
In this paper we motivate the need for real-time vessel behaviour classification and describe in det...
The maritime environment is diverse, open but partly ruled, and covers a large spectrum of ships fro...
We present a stream reasoning system for monitoring vessel activity in large geographical areas. The...
The research presented in this paper aims to show the deployment and use of advanced technologies to...
This paper describes a new multimodal maritime dataset recorded using a multispectral suite of sens...
International audienceOver the last years, the maritime sector has seen an important increase in dig...
Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the ...
Abstract—Maritime monitoring is a typical Big Data prob-lem where hundreds of thousands of vessels a...
The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ...
Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of ...
We present a system for online monitoring of maritime activity over streaming positions from numerou...
We present a Maritime Situational Awareness (MSA) framework for detecting and forecasting maritime e...
Maritime Domain Awareness is critical for protecting sea lanes, ports, harbors, offshore structures ...
Contemporary applications require the processing of large, high-velocity streams of symbolic events ...
Maritime Situational Awareness aims at monitoring maritime activities and ensuring safety and securi...
In this paper we motivate the need for real-time vessel behaviour classification and describe in det...
The maritime environment is diverse, open but partly ruled, and covers a large spectrum of ships fro...
We present a stream reasoning system for monitoring vessel activity in large geographical areas. The...
The research presented in this paper aims to show the deployment and use of advanced technologies to...
This paper describes a new multimodal maritime dataset recorded using a multispectral suite of sens...
International audienceOver the last years, the maritime sector has seen an important increase in dig...
Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the ...