Open AccessSHIP CLASSIFICATION FROM MULTISPECTRAL VIDEOS
Author(s) -
Frédérique RobertInacio,
Ghislain Oudinet,
François-Marie Colonna
Publication year - 2012
Publication title -
image analysis and stereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.237
H-Index - 27
eISSN - 1854-5165
pISSN - 1580-3139
DOI - 10.5566/ias.v31.p121-135
Subject(s) - sonar , computer science , radar , multispectral image , artificial intelligence , computer vision , set (abstract data type) , similarity (geometry) , secondary surveillance radar , pattern recognition (psychology) , image (mathematics) , telecommunications , programming language
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