The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …

In marine surveillance, distinguishing between normal and anomalous vessel movement
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …

Tracking multiple moving objects in real-time in a dynamic threat environment is an
important element in national security and surveillance system. It helps pinpoint and …

Research in subspace and componentbased techniques were originated in Statistics in the
middle of the last century through the problem of linear feature extraction solved by the …

This study proposes analytical tools to predict maritime accidents involving dangerous
goods to help improve maritime safety and preserve maritime and coastal heritage. Maritime …

Executive summary The maritime freight industry is of critical importance to the economic
output of the UK, with almost half a billion tonnes of freight being handled by UK ports in …

In this paper, we propose new adaptive algorithms for the extraction and tracking of the least
(minor) or eventually, principal eigenvectors of a positive Hermitian covariance matrix. The …

Time-of-arrival (TOA) and direction-of-arrival (DOA) based methods are essential for mobile
positioning in UMTS networks. Because of the presence of closely spaced multipaths, timing …

In the realm of marine surveillance, track association constitutes a pivotal yet challenging
task, involving the identification and tracking of unlabelled vessel trajectories. The need for …

This paper presents a new adaptive minor subspace extraction algorithm based on an idea
of Peng and Yi ('07) for approximating the single minor eigenvector of a covariance matrix …