ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES

Cristina Maduro, Katherine Batista, Paulo Peixoto, Jorge Batista

2008

Abstract

In this paper we propose a technique to estimate vehicles velocity, using rectified images that represent a top view of the highway. To rectify image sequences captured by uncalibrated cameras, this method automatically estimates two vanishing points using lines from the image plane. This approach requires two known lengths on the ground plane and can be applied to highways that are fairly straight near the surveillance camera. Once the background image is rectified it is possible to locate the stripes and boundaries of the highway lanes. This process may also be used to count vehicles, estimate their velocities and the mean velocity associated to each of the previously identified highway lanes.

References

  1. Bose, B. and Grimson, E. (2003). Ground plane rectification by tracking moving objects. In Proceedings of the Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
  2. Dailey, D. J. and Cathey, F. W. (2005). A novel technique to dynamically measure vehicle speed using uncalibrated roadway cameras. In Proceeding IEEE.
  3. Fischler, M. A. and Bolles, R. C. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. In Comm.Assoc. Comp. Mach.
  4. Kalman, R. E. and Bucy, R. S. (1960). New results in linear filtering and prediction theory. In Transactions of the ASME, Journal of Basic Engineering (Series D).
  5. Lazaros Grammatikopoulos, George Karras, E. P. (2002). Automatic estimation of vehicle speed from uncalibrated video sequences. In International Archives of Photogrammetry and Remote Sensing.
  6. Liebowitz, D. and Zisserman, A. (1998). Metric rectification for perspective images of planes. In Proceedings of Computer Vision and Pattern Recognition.
  7. Lucas, B. D. and Kanade, T. (1981). An iterative image registration technique with an application to stereo vision. In Proceedings DARPA Image Understanding Workshop.
  8. Schoepflin, T. and Dailey, D. J. (2003). Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation. In IEEE Transactions on Intelligent Transportation Systems.
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Paper Citation


in Harvard Style

Maduro C., Batista K., Peixoto P. and Batista J. (2008). ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 551-558. DOI: 10.5220/0001088205510558


in Bibtex Style

@conference{visapp08,
author={Cristina Maduro and Katherine Batista and Paulo Peixoto and Jorge Batista},
title={ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={551-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001088205510558},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES
SN - 978-989-8111-21-0
AU - Maduro C.
AU - Batista K.
AU - Peixoto P.
AU - Batista J.
PY - 2008
SP - 551
EP - 558
DO - 10.5220/0001088205510558