Computing Vessel Velocity from Single Perspective Projection Images

• Jose Luis Huillca UFF
• Leandro A. F. Fernandes UFF

DOI: https://doi.org/10.5753/sibgrapi.est.2021.20017

Resumo

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.

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J. L. Huillca and L. A. Fernandes, “Using error propagation to estimate confidence intervals for the speed of vessels from single images,” Pattern Recognition, 2021, under review.