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.
Chapter PDF
Similar content being viewed by others
References
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Beumier, C. (2012). Speed Estimation Thanks to Two Images from One Stationary Camera. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_105
Download citation
DOI: https://doi.org/10.1007/978-3-642-33275-3_105
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33274-6
Online ISBN: 978-3-642-33275-3
eBook Packages: Computer ScienceComputer Science (R0)