%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2021/09.06.15.03
%2 sid.inpe.br/sibgrapi/2021/09.06.15.03.42
%T Computing Vessel Velocity from Single Perspective Projection Images
%D 2021
%A Mango, Jose Luis Huillca,
%A Fernandes, Leandro A. F.,
%E Paiva, Afonso,
%E Menotti, David,
%E Baranoski, Gladimir V. G.,
%E Proença, Hugo Pedro,
%E Junior, Antonio Lopes Apolinario,
%E Papa, João Paulo,
%E Pagliosa, Paulo,
%E dos Santos, Thiago Oliveira,
%E e Sá, Asla Medeiros,
%E da Silveira, Thiago Lopes Trugillo,
%E Brazil, Emilio Vital,
%E Ponti, Moacir A.,
%E Fernandes, Leandro A. F.,
%E Avila, Sandra,
%B Conference on Graphics, Patterns and Images, 34 (SIBGRAPI)
%C Gramado, RS, Brazil (virtual)
%8 18-22 Oct. 2021
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K vessel velocity, ship wakes, optical image, computational geometry, object detection, planar homography, ship wake crests geometry.
%X The Master's Thesis presented an image-based approach to estimate the speed of moving vessels from their traces on the water surface. Vessels moving at constant heading and speed display a familiar V-shaped pattern which only differs from one to another by the wavelength of their transverse and divergent components. Such wavelength is related to vessel speed. We use planar homography and natural constraints on the geometry of ships' wake troughs to compute vessel speed from single optical images acquired by conventional cameras. Experiments~show that our approach produces compelling results, which are in accordance with true data available for the observed vessels.
%@language en
%3 Paper_id_11.pdf