• DocumentCode
    113839
  • Title

    Infrared moving target tracking algorithm with background perception capability

  • Author

    Liu Shijian ; Yang Long ; Wu Yingyue

  • Author_Institution
    Inst. of Tech. Phys., Shanghai, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis of the surroundings of the target. Strict constraints target infrared feature matching function when found that the background will be changed, if the target is interference, and outputs the target predicted position until the target flight out of the area. The improved algorithm is substantially independent of the target size, rotation change and improves the stability and reliability of the tracking algorithm. The experimental results show that the improved algorithm to overcome easily lost in the traditional algorithm to track the target and stable tracking in a complex background.
  • Keywords
    image matching; infrared imaging; optical tracking; visual perception; background perception capability; background perception module; complex background; infrared feature matching function; infrared moving target tracking algorithm; target feature matching function; target is interference; Algorithm design and analysis; Classification algorithms; Interference; Prediction algorithms; Real-time systems; Target tracking; Background perception; moving target; tracking algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920321
  • Filename
    6920321