• DocumentCode
    1886855
  • Title

    Vision enhancement system for SAR based on infrared video

  • Author

    Kaiyu, Xu ; Chaojian, Shi

  • Author_Institution
    Shanghai Maritime Univ., Shanghai
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    196
  • Lastpage
    199
  • Abstract
    With the expansion of the transportation volume at sea, maritime search and rescue became an enormous task. To improve the rate of life saving, this paper puts forward a vision enhancement system based on infrared video for the maritime search and rescue. A method is proposed for detecting and tracking targets at sea. Based on the characteristics of infrared image and the sea environment, we combine the approaches of frame difference and target region-growth to detect and track targets. The image of the current frame is different from the previous one and the result is transformed into a binary image using threshold segmentation. Then the region growth algorithm is employed to mark the targets´ position on the video. The experimental result shows that the system is suitable for searching the overboard personnel at sea.
  • Keywords
    computer vision; image enhancement; image segmentation; infrared imaging; marine systems; military computing; military radar; naval engineering computing; radar imaging; synthetic aperture radar; target tracking; video signal processing; SAR vision enhancement system; binary image; image threshold segmentation; infrared image video; maritime search-and rescue; region growth algorithm; sea target detection; sea target tracking; sea transportation; Chaos; Control systems; Humans; Infrared detectors; Machine vision; Object detection; Remote monitoring; Target tracking; Transportation; Vehicle safety; Machine vision; infrared video; region-growth; search and rescue; target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
  • Conference_Location
    Taizhou
  • Print_ISBN
    978-1-4244-3987-4
  • Type

    conf

  • DOI
    10.1109/IASP.2009.5054604
  • Filename
    5054604