• DocumentCode
    681348
  • Title

    Design and implementation of video-based detection system for wharf ship

  • Author

    Zhu Qiuyu ; Jiang Yilong ; Chen Bo

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    19-20 Aug. 2013
  • Firstpage
    493
  • Lastpage
    496
  • Abstract
    The ship detection system is designed to detect ships accurately and stably for the automatic ship management in the wharf. The paper discussed a ship target detection method and system, which includes image preprocessing and delineation of ROI; detection of moving objects based on frame difference; features extraction of targets based on edge, angular point, color information, etc.; and image classification. The experimental results show that this system has good accuracy and stability to meet the real-time processing requirements.
  • Keywords
    feature extraction; image classification; image processing; object detection; ships; ROI delineation; WHARF ship; angular point; automatic ship management; color information; edge targets; features extraction; frame difference; image classification; image preprocessing; moving object detection; ship detection system; ship target detection; video-based detection system; Angular Point; Computer Vision; Feature Extraction; Ship Detection;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
  • Conference_Location
    Shanghai
  • Electronic_ISBN
    978-1-84919-707-6
  • Type

    conf

  • DOI
    10.1049/cp.2013.2028
  • Filename
    6737869