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Proceedings Paper

Traffic Spatial Measurements Using Video Image Processing
Author(s): S. Beucher; J. M. Blosseville; F. Lenoir
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Paper Abstract

Algorithms of video traffic image processing, presented below, have been developed by CMM and INRETS using 256x256x6 bits images collected from various scenes covering a 150 m area of a freeway under various weather conditions. First, road detection is automatically performed. The road and traffic lanes images are used to derive relationships between real and image distances and to build image transformations independant from the perspective view. Then, markers of the vehicles are extracted using geometrical adapted filters. These markers are joined to define a single marker for each vehicle. Finally, vehicles trajectories are built and traffic variables are specified.

Paper Details

Date Published: 19 February 1988
PDF: 8 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942815
Show Author Affiliations
S. Beucher, Centre de Morphologie Mathematique (France)
J. M. Blosseville, Institut National de Recherche sur les Transports et leur Securite (France)
F. Lenoir, Institut National de Recherche sur les Transports et leur Securite (France)

Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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