• DocumentCode
    3046369
  • Title

    Incremental Tree Induction for Detection of the Rescue Target in the Marine Casualty

  • Author

    Ran, Xin ; Zhang, Yongxin

  • Author_Institution
    Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    In the case that a marine casualty occurs, the detection of the rescue target such as life rafts is surely required to carry out the prompt rescue of human life.To detect the small target in the wide views over the sea, we have proposed a new method including the feature extraction techniques based on the color information and the system learning method based on incremental tree induction. The color information derived from the image data is used to construct the incremental tree which can update online to adapt well to the real time circumstance. The experimental results show that the proposed method is efficient to detect the small target in cluttered natural scene.
  • Keywords
    decision trees; feature extraction; image colour analysis; learning (artificial intelligence); marine accidents; marine safety; cluttered natural scene; color information; decision tree; feature extraction technique; image data; incremental tree induction; machine learning; marine casualty; rescue target detection; system learning method; Costs; Decision trees; Eyes; Humans; Image processing; Intelligent systems; Pattern recognition; Radio access networks; Real time systems; Sea surface; Incremental tree induction; Marine casualty; target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.394
  • Filename
    5209265