IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/741892.html
   My bibliography  Save this article

Extended Target Shape Estimation by Fitting B-Spline Curve

Author

Listed:
  • Jin-long Yang
  • Peng Li
  • Hong-wei Ge

Abstract

Taking into account the difficulty of shape estimation for the extended targets, a novel algorithm is proposed by fitting the B-spline curve. For the single extended target tracking, the multiple frame statistic technique is introduced to construct the pseudomeasurement sets and the control points are selected to form the B-spline curve. Then the shapes of the extended targets are extracted under the Bayes framework. Furthermore, the proposed shape estimation algorithm is modified suitably and combined with the probability hypothesis density (PHD) filter for multiple extended target tracking. Simulations show that the proposed algorithm has a good performance for shape estimate of any extended targets.

Suggested Citation

  • Jin-long Yang & Peng Li & Hong-wei Ge, 2014. "Extended Target Shape Estimation by Fitting B-Spline Curve," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, June.
  • Handle: RePEc:hin:jnljam:741892
    DOI: 10.1155/2014/741892
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2014/741892.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/JAM/2014/741892.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/741892?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnljam:741892. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.