パノラマカメラを用いた船舶の追跡と進路予測に関する研究-河川交通に向けて-

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  • Research on Ship Tracking Using Panorama Images - towards River Traffic -

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<p>In this research, we aim to detect ships sailing around our ship from river navigation images using Faster R-CNN and predict their course. First, we cut out the part of the ship from the learning image and omit the image resizing process of Faster R-CNN. Next, ship detection experiments were carried out from river navigation images by a method for increasing the accuracy of ship detection using time series information. Finally, we reported a method for predicting the path of ships from the position and size of the rectangle containing ships detected after the ship position correction between image frames. The results are summarized as follows:</p><p>(1)A data set was created by preprocessing the panoramic images created from river navigation images and the images taken by digital cameras. This dataset makes it possible to omit Faster R-CNN resizing processing and improve processing speed.</p><p>(2)The minimum detection rate for ships sailing in rivers was about 40%.</p><p>(3)As a result of course prediction, the error angle was 50 ° or less.</p>

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