IDEAS home Printed from https://ideas.repec.org/a/ids/ijitma/v20y2021i1-2p83-94.html
   My bibliography  Save this article

Classification of cricket videos using finite state machines

Author

Listed:
  • Vijayan Ellappan
  • R. Rajkumar

Abstract

The problem of classifying scenes from cricket video is addressed and a robust framework for this problem is proposed. It is proposed that the finite state machines (FSM) are suitable for detecting and classifying scenes and their usage is demonstrated for three types of events: wicket, six and four. This framework utilises the structural information of the scenes together with the low-level and mid-level features. Low-level features of the video including motion and audio energy, and a mid-level feature, body, are used in this approach. The transitions of the FSMs are determined by the features from each shot in the scene. The FSMs have been experimented on over 80 clips and convincing results have been achieved.

Suggested Citation

  • Vijayan Ellappan & R. Rajkumar, 2021. "Classification of cricket videos using finite state machines," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 20(1/2), pages 83-94.
    • Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:83-94
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=114156
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    fine state machine; FSM.;

    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:ids:ijitma:v:20:y:2021:i:1/2:p:83-94. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=18 .

    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.