• DocumentCode
    2636359
  • Title

    Centroid registration difference algorithm for detecting spatial moving targets

  • Author

    Liu Xiang ; Hu Bing-liang ; Liu Xue-bin ; Duan Xiao-feng ; Wei Cui-yu

  • Author_Institution
    Xi´an Inst. of Opt. & Precision Mech., Chinese Acad. of Sci., Xi´an
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to meet the needs of recognizing the targets under the moving space background by micro spacecraft target detector (MTD). According to the particular characters of the spatial background, this paper proposes an algorithm which combines the image centroid registration with the single difference method, named the Centroid Registration Difference Algorithm. In this algorithm, we labeled only the available bright sign spots and has distilled its centroid in two frames, and then used the image centroid registration to compare the two images and eliminated the same light spots between them, then the remaining bright spots in the present image were our targets. The simulation results indicate that the proposed algorithm has a low computational cost and the effect of the recognition is good.
  • Keywords
    aerospace computing; image recognition; image registration; object detection; space vehicles; bright sign spots; centroid registration difference algorithm; computational cost; image centroid registration; micro spacecraft target detector; moving space background; simulation; single difference method; spatial moving target detection; target recognition; Aerospace electronics; Clustering algorithms; Computational efficiency; Computational modeling; Detectors; Educational institutions; Laboratories; Optical imaging; Space vehicles; Target recognition; Image Centroid Registration; Micro Spacecraft Target Detector; Multi-target Capture; Single Difference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776180
  • Filename
    4776180