Computing Vessel Velocity from Single Perspective Projection Images
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.
W. Thomson, “On ship waves,” Proc. Inst. Mech. Eng., vol. 38, pp. 641–649, 1887.
N. Wawrzyniak, T. Hyla, and A. Popik, “Vessel detection and tracking method based on video surveillance,” Sensors, vol. 19, p. 5230, 2019.
A. Panico, M. D. Graziano, and A. Renga, “SAR-based vessel velocity estimation from partially imaged Kelvin Pattern,” IEEE Geosci. Remote. Sens. Lett., vol. 14, no. 11, pp. 2067–2071, 2017.
A. Broggi, P. Cerri, P. Grisleri, and M. Paterlini, “Boat speed monitoring using artificial vision,” in Proc. ICIAP, P. Foggia, C. Sansone, and M. Vento, Eds. Springer Berlin Heidelberg, 2009, pp. 327–336.
S. Workman, M. Zhai, and N. Jacobs, “Horizon lines in the wild,” in Proc. BMVC, 2016, pp. 20.1–20.12.
R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge University Press, 2004.
Y. Liu, M. M. Cheng, X. Hu, J. Bian, L. Zhang, X. Bai, and J. Tang, “Richer convolutional features for edge detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 41, no. 8, pp. 1939–1946, 2019.
R. Wilcox, “The regression smoother LOWESS: A confidence band that allows heteroscedasticity and has some specified simultaneous probability coverage,” J. Mod. Appl. Stat. Methods, vol. 16, pp. 29–38, 2017.
L. G. Parratt, Probability and experimental errors in science : an elementary survey. John Wiley & Sons, Inc., 1961.
S. S. Shapiro and M. B. Wilk, “An analysis of variance test for normality (complete samples),” Biometrika, vol. 52, no. 3-4, pp. 591–611, 1965.
J. L. Huillca, Computing vessel velocity from single perspective projection images. Master’s thesis, UFF, Rio de Janeiro, Brasil, 2020.
J. L. Huillca and L. A. F. Fernandes, “Computing vessel velocity from single perspective projection images,” in Proc. ICIP, 2019, pp. 325–329.
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.