Ship detection based on spatio-temporal features

Satoru Suzuki, Yasue Mitsukura, Tadasuke Furuya

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The paper proposes the ship detection method based on Spatio-temporal Histograms of Oriented Gradients (STHOG) feature and Support Vector Machine (SVM). STHOG feature, which is the extension version of HOG feature, enables extract spatial and temporal features of an object. The ship detector based on HOG feature can wrongly detect the similar shape objects with ships. On the other hand, the ship detector based on STHOG feature can identify them successfully by utilizing temporal feature of an object. To extract temporal feature of an object, image registration is implemented and an image displacement by camera motion is corrected. Due to high dimensionality of STHOG feature, it requires high computational cost to scan entire image and find ship regions. Principal Component Analysis (PCA) is applied to STHOG feature to compress the dimension. In the computer simulations, the ship detection performance of the proposed method was evaluated. From the simulation results, our proposed method exhibited better results than ship detector based on PCA+HOG feature.

本文言語English
ホスト出版物のタイトル10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ93-98
ページ数6
ISBN(電子版)9781479957170
DOI
出版ステータスPublished - 2014 1 22
イベント10th France-Japan/8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 - Tokyo, Japan
継続期間: 2014 11 272014 11 29

出版物シリーズ

名前10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014

Other

Other10th France-Japan/8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014
国/地域Japan
CityTokyo
Period14/11/2714/11/29

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 機械工学

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