Authors:
Ricardo Cardoso Pereira
;
Pedro Henriques Abreu
;
Evgheni Polisciuc
and
Penousal Machado
Affiliation:
Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Pólo II - Pinhal de Marrocos, 3030-290 Coimbra and Portugal
Keyword(s):
Automatic Identification System, Data Visualization, Data Processing, Magnified Fish-Eye Lens.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visualization Applications
Abstract:
Automatic Identification System data has been used in several studies with different directions like traffic forecasting, pollution control or anomalous behavior detection in vessels trajectories. Considering this last subject, the intersection between vessels is often related with abnormal behaviors, but this topic has not been exploited yet. In this paper an approach to assist the domain experts in the task of analyzing these intersections is introduced, based on data processing and visualization. The work was experimented with a proprietary dataset that covers the Portuguese maritime zone, containing an average of 6460 intersections by day. The results show that several intersections were only noticeable with the visualization strategies here proposed.