Ship detection based on spatio-temporal features

Satoru Suzuki, Yasue Mitsukura, Tadasuke Furuya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-98
Number of pages6
ISBN (Electronic)9781479957170
DOIs
Publication statusPublished - 2014 Jan 22
Event10th France-Japan/8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 - Tokyo, Japan
Duration: 2014 Nov 272014 Nov 29

Publication series

Name10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014

Other

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Suzuki, S., Mitsukura, Y., & Furuya, T. (2014). Ship detection based on spatio-temporal features. In 10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014 (pp. 93-98). [7018610] (10th France-Japan Congress, 8th Europe-Asia Congress on Mecatronics, MECATRONICS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MECATRONICS.2014.7018610