IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-1-4419-0745-5_11.html
   My bibliography  Save this book chapter

Computer-Aided Analysis of Pedestrians’ Motion Behavior Using Video Frames

In: Sustainable Environmental Design in Architecture

Author

Listed:
  • Ioannis Tzouvadakis

    (NTUA)

  • Athanassios Stamos

    (NTUA)

  • Dimitra Vassilaki

    (NTUA)

Abstract

This chapter aims to present the evolution of technical software which decodes the behavior of people who walk in the urban environment. It uses and analyzes video frames of a region which are recorded by a stationary, run-of-the-mill video camera. The software is able to track semi-automatically the motion of targets in a region of interest and produce the route of the targets in a drawing environment and in a world coordinate system. The photogrammetric Direct Linear Transform (DLT) method with known terrain is used to extract the information from single video frames, simultaneously correcting the nonmetric cameras’ systematic errors. The Least Squares Method is employed to achieve increased accuracy.

Suggested Citation

  • Ioannis Tzouvadakis & Athanassios Stamos & Dimitra Vassilaki, 2012. "Computer-Aided Analysis of Pedestrians’ Motion Behavior Using Video Frames," Springer Optimization and Its Applications, in: Stamatina Th. Rassia & Panos M. Pardalos (ed.), Sustainable Environmental Design in Architecture, chapter 0, pages 185-192, Springer.
  • Handle: RePEc:spr:spochp:978-1-4419-0745-5_11
    DOI: 10.1007/978-1-4419-0745-5_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:spochp:978-1-4419-0745-5_11. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.