IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/503924.html
   My bibliography  Save this article

A Novel Fusion Method by Static and Moving Facial Capture

Author

Listed:
  • Shuai Liu
  • Weina Fu
  • Wenshuo Zhao
  • Jiantao Zhou
  • Qianzhong Li

Abstract

For many years, face recognition has been one of the most important domains in pattern recognition. Nowadays, face recognition is more required to be used in video actually. So moving facial capture must be studied firstly because of performance requirement. Since classic facial capture method is not so suitable in a moving environment, in this paper, we present a novel facial capture method in a moving environment. Firstly, continuous frames are extracted from detecting videos by similar characteristics. Then, we present an algorithm to extract the moving object and restructure background. Meanwhile, with analysis of skin color in both moving and static areas, we use the classic faces capture method to catch all faces. Finally, experimental results show that this method has better robustness and accuracy.

Suggested Citation

  • Shuai Liu & Weina Fu & Wenshuo Zhao & Jiantao Zhou & Qianzhong Li, 2013. "A Novel Fusion Method by Static and Moving Facial Capture," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-6, September.
    • Handle: RePEc:hin:jnlmpe:503924
    DOI: 10.1155/2013/503924
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2013/503924.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2013/503924.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/503924?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:jnlmpe:503924. 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.