IDEAS home Printed from https://ideas.repec.org/a/zib/zbnamm/v4y2021i2p40-43.html
   My bibliography  Save this article

A Real-Time Autonomous Face-Tracking System Based On A 2-Dof Articulated Manipulator Platform Using Extended Kalman Filter

Author

Listed:
  • Sameer Kumar Devarakonda

    (Department of Mechanical Engineering , Bapatla Engineering College , Bapatla , Andhra Pradesh , INDIA)

  • Randhir Kumar

    (Birla Institute of Technology, Mesra, Jharkhand-835215, INDIA.)

  • Amit Kumar Nandi

    (Birla Institute of Technology, Mesra, Jharkhand-835215, INDIA.)

  • Palash Poddar

    (CSIR-National Metallurgical Laboratory, Jamshedpur-831007, INDIA.)

Abstract

There is an increasing demand for autonomous tracking applications in the industrial context which ranges from driver monitoring in semi-autonomous vehicles to human-robot interaction (HRI) to facilitate situational awareness in collaborative robots. In order to address the same, a system to track the human face in real-time has been developed and the system is capable of moves accordingly so that the face always remains in the range of visibility of the autonomous system. The system consists of open-source hardware and software to design the Tracking Algorithms which utilizes the Extended Kalman Filters (EKF) at its core. In addition to the basic model, this paper uses a hybrid model, implemented using both Extended Kalman Filters and Viola Jones in conjunction with Iterative Learning Control (ILC) intelligent tuning of PID loop. Performance evaluation of the system has been done in Solidworks and MATLAB. The proposed model with two different control methodologies along with the modified Extended Kalman Filter and Viola Jones Based algorithm has a shorter delay time and produced stable responses over traditional viola jones wavelets based approach.

Suggested Citation

  • Sameer Kumar Devarakonda & Randhir Kumar & Amit Kumar Nandi & Palash Poddar, 2021. "A Real-Time Autonomous Face-Tracking System Based On A 2-Dof Articulated Manipulator Platform Using Extended Kalman Filter," Acta Mechanica Malaysia (AMM), Zibeline International Publishing, vol. 4(2), pages 40-43, December.
  • Handle: RePEc:zib:zbnamm:v:4:y:2021:i:2:p:40-43
    DOI: 10.26480/amm.02.2021.40.43
    as

    Download full text from publisher

    File URL: https://actamechanicamalaysia.com/download/1282/
    Download Restriction: no

    File URL: https://libkey.io/10.26480/amm.02.2021.40.43?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
    ---><---

    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:zib:zbnamm:v:4:y:2021:i:2:p:40-43. 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: Zibeline International Publishing (email available below). General contact details of provider: https://actamechanicamalaysia.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.