Λεπτομέρειες

ΕίδοςΔημοσίευση
ΚωδικόςTR-2015-1
ΤίτλοςΑναγνώριση συμβάντων για εποπτεία θαλασσίων περιοχών
ΣυγγραφέαςΚώστας Πατρούμπας, Αλέξανδρος Αρτίκης, Νίκος Κατζούρης, Μάριος Βόντας, Γιάννης Θεοδωρίδης, Νίκος Πελέκης
Έτος2015
Λέξεις κλειδιάcomplex event processing, data streams, moving objects, trajectory, windows
ΠερίληψηWe present a system that combines intelligent online tracking with complex event recognition against streaming positions relayed from numerous vessels. Given the vital importance of maritime safety to the environment, the economy, and in national security, our system leverages the real-time acquisition of vessel activity with geographical and other static information. Thus, it can offer timely notification in emergency situations, such as intrusion into marine preservation areas, loitering, and unsafe sailing. Thanks to a mobility tracking module, evolving trajectories generated by massive positional updates can be compressed online into concise, but reliable synopses per ship, retaining only salient motion features within a sliding window. These features are exploited by a complex event recognition module that detects suspicious situations of interest to maritime authorities. We conducted a comprehensive empirical validation against a real dataset of traces collected from thousands of vessels. Our results confirm the scalability and approximation accuracy of the proposed system, and thus demonstrate its potential for effective, real-time maritime monitoring.
ΚατηγορίαData Streams
ΔημοσίευσηProceedings of the 18th International Conference on Extending Database Technology (EDBT), Brussels, Belgium, March 2015
Αρχείο Επισκόπηση


Επιστροφή στην αρχική σελίδα