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In this work we propose a method for securing port facilities which uses a set of video cameras to automatically detect various vessel classes moving within buffer zones and off-limit areas. Vessels are detected by an edge-enhanced spatiotemporal optimal trade-off maximum average correlation height filter which is capable of discriminating between vessel classes while allowing for intra-class variability. Vessel detections are cross-referenced with e-NOAD data in order to verify the vessel'sdoi:10.1117/12.777645 dblp:conf/spieVIP/SullivanS08 fatcat:vtx67xrp4betvbq2xeia2t6qaq