IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0126212.html
   My bibliography  Save this article

Moment Feature Based Fast Feature Extraction Algorithm for Moving Object Detection Using Aerial Images

Author

Listed:
  • A F M Saifuddin Saif
  • Anton Satria Prabuwono
  • Zainal Rasyid Mahayuddin

Abstract

Fast and computationally less complex feature extraction for moving object detection using aerial images from unmanned aerial vehicles (UAVs) remains as an elusive goal in the field of computer vision research. The types of features used in current studies concerningmoving object detection are typically chosen based on improving detection rate rather than on providing fast and computationally less complex feature extraction methods. Because moving object detection using aerial images from UAVs involves motion as seen from a certain altitude, effective and fast feature extraction is a vital issue for optimum detection performance. This research proposes a two-layer bucket approach based on a new feature extraction algorithm referred to as the moment-based feature extraction algorithm (MFEA). Because a moment represents thecoherent intensity of pixels and motion estimation is a motion pixel intensity measurement, this research used this relation to develop the proposed algorithm. The experimental results reveal the successful performance of the proposed MFEA algorithm and the proposed methodology.

Suggested Citation

  • A F M Saifuddin Saif & Anton Satria Prabuwono & Zainal Rasyid Mahayuddin, 2015. "Moment Feature Based Fast Feature Extraction Algorithm for Moving Object Detection Using Aerial Images," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.
  • Handle: RePEc:plo:pone00:0126212
    DOI: 10.1371/journal.pone.0126212
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126212
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0126212&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0126212?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
    ---><---

    References listed on IDEAS

    as
    1. Anonymous, 2013. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 107(4), pages 1-1, November.
    2. Anonymous, 2013. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 107(3), pages 1-1, August.
    3. Anonymous, 2013. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 107(2), pages 1-1, May.
    4. Anonymous, 2013. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 107(1), pages 1-1, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naomi Prachi Hazarika, 2020. "Spaces of Intermediation and Political Participation: a Study of KuSumpur pahadI redevelopment project," CSH-IFP Working Papers 0016, Centre de Sciences Humaines, New Delhi, revised Jul 2020.
    2. Mohammad Amini Farsani & Esmat Babaii, 2020. "Applied linguistics research in three decades: a methodological synthesis of graduate theses in an EFL context," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1257-1283, August.
    3. Fabio Gobbi, 2021. "Evaluating Forecasts from State-Dependent Autoregressive Models for US GDP Growth Rate. Comparison with Alternative Approaches," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-7.
    4. S M Ferdous & M Sohel Rahman, 2015. "An Integer Programming Formulation of the Minimum Common String Partition Problem," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    5. Jin Qi & Zhiyong Yang, 2014. "Learning Dictionaries of Sparse Codes of 3D Movements of Body Joints for Real-Time Human Activity Understanding," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-24, December.
    6. Kwangsu Lee & Dong Hoon Lee, 2015. "Security Analysis of the Unrestricted Identity-Based Aggregate Signature Scheme," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-8, May.
    7. Mohammad Amini Farsani & Esmat Babaii & Maryam Beikmohammadi & Meysam Babaii Farsani, 2022. "Mixed-methods research proficiency for applied linguists: a PLS-path modelling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3337-3362, October.
    8. Daniel Gamermann & Arnau Montagud & J Alberto Conejero & Pedro Fernández de Córdoba & Javier F Urchueguía, 2019. "Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendrogram reconstruction," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.

    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:plo:pone00:0126212. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.