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

  • Ioannis Tzouvadakis
  • Athanassios Stamos
  • Dimitra Vassilaki
Part of the Springer Optimization and Its Applications book series (SOIA, volume 56)


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.


Control Point Video Camera Digital Elevation Model Flat Surface Video Frame 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Tzouvadakis, I., Rentzos, K.: Pedestrian motion in disorderly queues with respect to the evacuation of a region. TEXNIKA XRONIKA, Category II (Architecture, Urban and Region design), vol. 1–2, (1999)Google Scholar
  2. 2.
    Theofanopouloy, A.: Contribution to the computation and design of staircases. Diploma Thesis, School of Civil Engineering, NTUA, Athens (2001)Google Scholar
  3. 3.
    Tzouvadakis, I., Ioannidis, I.: Recording the tracks of pedestrians’ motion using computer and video archives. Submitted to TEXNIKA XRONIKA, Category II (Architecture, Urban and Region design)Google Scholar
  4. 4.
    Page, A., Candelas, P., Belmar, F.: Application of video photogrammetry to analyse mechanical systems in the undergraduate physics laboratory. European Journal of Physics, IOP electronic journals, Vol. 27, pp. 647–655 (2006)Google Scholar
  5. 5.
    Sorapong, A., Manas, S., Chuchart, P.: A 3D motion capture system using Direct Linear Transform and Quad-Tree searching scheme. In: 2nd International Symposium on Biomedical Engineering, 8–10 November, Bangkok, Thailand (2006)Google Scholar
  6. 6.
    Dermanis, A.: Analytical Photogrammetry. Ziti Publications, Thessaloniki Greece (1991), ISBN 960–431-004-6Google Scholar
  7. 7.
    Press, H.W., Teukolski, A.S., Vetterling, T.W., Flannery, P.B.: Numerical Recipes in Fortran, Cambridge University Press (1992), ISBN 052143064XMATHGoogle Scholar
  8. 8.
    Stamos, A.A.: Application of Binary Spatial Partitioning to Computer Aided Design. In: Proceedings of the Sixth International Conference on Engineering Computational Technology, Athens 2008, Papadrakakis, M., Topping, B.H.V. (Eds.), Civil-Comp Press, Stirlingshire, Scotland (2008)Google Scholar
  9. 9.
    Shewchuk, J.R.: Applied Computational Geometry: Towards Geometric Engineering. In: Ming, C.L., Dinesh M. (eds.) Lecture Notes in Computer Science, volume 1148, pp. 203–222, Springer-Verlag, Berlin, (1996)Google Scholar
  10. 10.
    Wilson, J.P., Gallant, J.C.: Terrain Analysis: Principles and Applications. John Wiley and Sons (2000), ISBN 0471321885Google Scholar
  11. 11.
    Stamos A.A.: ThanCad, a 2dimensional CAD. EuroPython, Vilnious (2007)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Ioannis Tzouvadakis
    • 1
  • Athanassios Stamos
    • 1
  • Dimitra Vassilaki
    • 1
  1. 1.School of Civil EngineeringNTUAZografosGreece

Personalised recommendations