-
- KONDO Masaki
- 鳥羽商船高等専門学校情報機械システム工学科
-
- MIYASHITA Tsuyoshi
- 東京海洋大学大学院海洋科学技術研究科
-
- IMAI Ryota
- 東京海洋大学大学院海洋科学技術研究科
-
- INAISHI Masaaki
- 東京海洋大学大学院海洋工学系
-
- FURUYA Tadasuke
- 東京海洋大学大学院海洋工学系
-
- NAKAGAWA Masaki
- 東京農工大学工学部
Bibliographic Information
- Other Title
-
- 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-
Abstract
<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>
Journal
-
- The Journal of Japan Institute of Navigation
-
The Journal of Japan Institute of Navigation 143 (0), 31-41, 2020
Japan Institute of Navigation
- Tweet
Details 詳細情報について
-
- CRID
- 1390849931316480000
-
- NII Article ID
- 130007961352
-
- ISSN
- 21873275
- 03887405
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed