Speed Estimation Thanks to Two Images from One Stationary Camera

  • Charles Beumier
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

This paper presents speed estimation of a moving object thanks to two images captured within a known time interval from one stationary un-calibrated camera. The development is currently applicable to rigid objects animated by a pure translation and requires the localization of corresponding points in both images and the specification of one real dimension. An interesting solution based on an equivalent stereo problem is suggested. It considers the object stationary and searches for the virtual camera motion which would produce the same images. The mathematical formulation is simple using 3D vectors and the camera parameters: focal length, CCD size and pixel size. The developed software package was tested for vehicle speed second assessment of the velocity captured by the LIDAR system LMS-06 distributed by secuRoad SA.

Keywords

Speed estimation 3D translation vehicle speed LIDAR 

References

  1. 1.
    Kastrinaki, V., Zervakis, M., Kalaitzakis, K.: A survey of video processing techniques for traffic applications. In: Image and Vision Computing, vol. 21, pp. 359–381. Elsevier, Amsterdam (2003)Google Scholar
  2. 2.
    Grammatikopoulos, L., Karras, G., Petsa, E.: Automatic estimation of vehicle speed from uncalibrated video sequences. In: Proc. of Int. Symposium on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields, Sofia, pp. 332–338 (2005)Google Scholar
  3. 3.
    Tocino Diaz, J.C., Houben, Q., Czyz, J., Debeir, O., Warzée, N.: A Camera Auto-Calibration Algorithm for Real-Time Road Traffic Analysis. In: Proc. of VISAPP 2009 Int. Conf. on Computer Vision Theory and Applications, Lisboa, Portugal, pp. 625–631 (2009)Google Scholar
  4. 4.
    Beymer, D., McLauchlan, P., Coifman, B., Malik, J.: A Real-Time Computer Vision System for measuring Traffic Parameters. In: Proceedings of Computer Vision and Pattern Recognition, pp. 495–501. IEEE (1997)Google Scholar
  5. 5.
    Beumier, C.: Vehicle Speed Estimation from Two Images for LIDAR Second Assessment. In: Proc. of VISAPP 2012 Int. Conf. on Computer Vision Theory and Applications, Roma, Italy (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Charles Beumier
    • 1
  1. 1.Signal & Image CentreRoyal Military AcademyBrusselsBelgium

Personalised recommendations