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Title: Secure UAV-based system to detect and filter sea objects using image processing
Authors: Lodeiro-Santiago, Moisés
Caballero-Gil, Cándido
Aguasca-Colomo, Ricardo 
Munilla-Fajardo, Jorge
Ramió-Aguirre, Jorge
UNESCO Clasification: 3304 Tecnología de los ordenadores
220990 Tratamiento digital. Imágenes
Keywords: UAV
Image processing
Patera boat
Ship detection
Issue Date: 2018
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 16th International Conference on Computer Aided Systems Theory, (EUROCAST 2017) 
Abstract: In the last years irregular immigration has aroused again due to the fact of war in some regions like middle east and in continents like Africa. Because of that, in this paper we presented a novel solution based in new emerging technology to face off the immigration problem focused on the case of sea-type immigration. The presented system is composed by unmanned aerial vehicles (UAV), also known as RPAs or drones, used to fly autonomously over an area in order to detect unallocated potentials immigration boats. The method used is the image processing using combined algorithms and software like OpenCV2 to detect certain patterns in images to determinate whether it is a possible immigration boat or not. Besides, it has been included some prof of concepts to show the effectiveness of the presented system. As main results we was able to determine and detect using aerial pictures if a boat it is a boat with an 82.3% of accuracy (according to the F1 score accuracy test).
ISBN: 978-3-319-74717-0
ISSN: 0302-9743
DOI: 10.1007/978-3-319-74718-7_20
Source: Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science, v. 10671 LNCS, p. 166-174
Appears in Collections:Capítulo de libro
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