• DocumentCode
    2705490
  • Title

    Moving Targets Detection and Tracking Based on Nonlinear Adaptive Filtering

  • Author

    Ying-li, Wang ; Dai Jing-Min

  • Author_Institution
    Harbin Inst. of Technol., Harbin
  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    691
  • Lastpage
    694
  • Abstract
    To resolve the problem of the missile detection in the space early-warning process, an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex background in this paper. The method can eliminate the influence of the unbalance background to the image segmentation, select the small moving target and the noise points and then eliminate wrong point targets to obtain the satisfactory detection result. The effectiveness of the method is proved by the experimental results for several infrared image sequences.
  • Keywords
    adaptive filters; alarm systems; filtering theory; military computing; missiles; nonlinear filters; object detection; tracking; SNR; image segmentation; infrared image sequences; missile detection; moving targets detection; nonlinear adaptive filtering; small IR target; space early-warning process; tracking based filtering; Adaptive filters; Background noise; Image segmentation; Image sequences; Infrared detectors; Infrared imaging; Missiles; Object detection; Signal to noise ratio; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3073-4
  • Type

    conf

  • DOI
    10.1109/CISW.2007.4425589
  • Filename
    4425589