HOG(Histograms of Oriented Gradient)特徴量を用いた船舶画像認識

• 松本 洋平

  東京海洋大学大学院 海洋科学技術研究科

書誌事項

タイトル別名

• Ship Image Recognition using HOG

抄録

HOG (Histograms of Oriented Gradient) is a feature which is a basis of the modern object detection algorithms. I applied HOG-SVM (Support Vector Machine) detector to our ship detection system and evaluated it quantitatively. Firstly, I gathered large number of navigational images from ship mounted camera and manually annotated the area of ships in the images as the ground truth for training and evaluation. Then I carried out k-fold cross validation to evaluate HOG-SVM for various parameters. The result shows that HOG-SVM achieves 99% true positive and 0.0% false positive for ships with resolutions larger than 128x64.

収録刊行物

• The Journal of Japan Institute of Navigation

  The Journal of Japan Institute of Navigation 129 (0), 105-112, 2013

  公益社団法人 日本航海学会

キーワード

• 人工知能
• 画像認識
• HOG
• SVM

詳細情報

• CRID: 1390282680458287232
• NII論文ID: 130004622987
• DOI: 10.9749/jin.129.105
• ISSN: 21873275
• ISSN: 03887405
• 本文言語コード: ja
• データソース種別:
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  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可