• DocumentCode
    3660227
  • Title

    Missile vision guidance based-on adaptive image filtering

  • Author

    Qiang Gao;Yijie Zou;Jianhua Zhang;Sheng Liu;Zhen Xie;Shengyong Chen

  • Author_Institution
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
  • fYear
    2015
  • Firstpage
    1371
  • Lastpage
    1376
  • Abstract
    A novel target tracking algorithm based on adaptive image filtering is proposed to realize missile vision guidance. According to the specific condition of application, we propose an adaptive filtering, light and effective motion model, and a fusion algorithm. Small target scale in the first, large scale variation during the procession, and the changing complex backgrounds can all be solved effectively by our algorithm. Simulated experiments show that our algorithm performs well with 15% distance error ratio, and more than 70% overlapping in average. The speed of real-time procession is faster than 300FPS.
  • Keywords
    "Target tracking","Cameras","Missiles","Mathematical model","Adaptation models","Real-time systems","Roads"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279500
  • Filename
    7279500