Pose-based anomaly detection is a video-analysis technique for detecting anomalous
events or behaviors by examining human pose extracted from the video frames. Human …

Representing maritime traffic patterns and detecting anomalies from them are key to vessel
monitoring and maritime situational awareness. We propose a novel approach—referred to …

Nowadays, systems or entities are usually monitored by devices, generating large amounts
of time series. Detecting anomalies in them help prevent potential losses, thus arousing …

Sequence anomaly detection in time series is of critical importance to wide applications
ranging from finance, healthcare to IT system monitoring. Most current researches use the …

The identification of atypical vessel behavior is a crucial factor in ensuring the safety of
maritime navigation and enhancing the effectiveness of waterway oversight. The current …

Nowadays, manufacturing industries still face difficulties applying traditional Work-related
MusculoSkeletal Disorders (WMSDs) risk assessment methods due to the high effort …

The advances of mobile technologies have led to massive amounts of trajectory data, ie data
about tracked routes of moving objects. The detection of anomalies in trajectory data is an …

With the popularization of visual object tracking (VOT), more and more trajectory data are
obtained and have begun to gain widespread attention in the fields of mobile robots …

Anomalous human trajectory detection is a critical task in security surveillance in working
areas. To identify anomalous human trajectories, understanding features of their movement …

Achieving maritime security is challenging due to the vastness and complexity of the
domain. Monitoring all vessels that use this medium is humanly impossible but is needed for …