Ship Classification From Multispectral Videos

Abstract

Surveillance of a seaport can be achieved by different means: radar, sonar, cameras, radio communications and so on. Such a surveillance aims, on the one hand, to manage cargo and tanker traffic, and, on the other hand, to prevent terrorist attacks in sensitive areas. In this paper an application to video-surveillance of a seaport entrance is presented, and more particularly, the different steps enabling to classify mobile shapes. This classification is based on a parameter measuring the similarity degree between the shape under study and a set of reference shapes. The classification result describes the considered mobile in terms of shape and speed, as speed is determined by target tracking.

Computer-Aided Phase Identification and Frame-to-Frame Analysis of Endodontic Asymmetric Reciprocation Rotation: A Preliminary Study

“…In literature, computer-assisted measurements have been utilized in numerous researches related medical and paramedical field due to their advantages (Dembia et al, 2012;Robert-Inacio et al, 2012;Alilou & Kovalev, 2013;Alilou et al, 2014;Mapayi et al, 2016;Mabaso et al, 2018;Skwirczyński et al, 2019). These studies have been pointed out that the manual assessment of angle, speed, image analysis measurement has been time-consuming and the inevitable errors may have been seen.…”