IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5597168.html
   My bibliography  Save this article

Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes

Author

Listed:
  • Zeqing Zhang
  • Weiwei Lin
  • Yuqiang Zheng
  • Abd E.I.-Baset Hassanien

Abstract

Focusing on DOTA, the multidirectional object dataset in aerial view of vehicles, CMDTD has been proposed. The reason why it is difficult for applying the general object detection algorithm in multidirectional object detection has been analyzed in this paper. Based on this, the detection principle of CMDTD including its backbone network and multidirectional multi-information detection end module has been studied. In addition, in view of the complexity of the scene faced by aerial view of vehicles, a unique data expansion method is proposed. At last, three datasets have been experimented using the CMDTD algorithm, proving that the cascaded multidirectional object detection algorithm with high effectiveness is superior to other methods.

Suggested Citation

  • Zeqing Zhang & Weiwei Lin & Yuqiang Zheng & Abd E.I.-Baset Hassanien, 2021. "Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes," Complexity, Hindawi, vol. 2021, pages 1-9, April.
  • Handle: RePEc:hin:complx:5597168
    DOI: 10.1155/2021/5597168
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/5597168.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/5597168.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/5597168?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:complx:5597168. 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.