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Proceedings Paper

Recognition of moving vehicles using directional-temporal plane transform
Author(s): Hiroyasu Taniguchi; Haruki Furusawa; Akinobu Seki; Sigeki Ikebata
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Paper Abstract

Traffic flow measurement systems, which recognize vehicles and measure traffic parameters by image processing, are researched. We propose a new recognition method for moving vehicles using directional-temporal plane transform (DTT) for the system. DTT is a transformation from spatiotemporal data to 2-D data onto a directional-temporal plane. The transformation is done by projecting feature data of vehicles to a directional axis which is roughly parallel to the moving loci, and by placing the projected data stream side by side in temporal order. We also show an effective extraction algorithm of vehicles from the 2-D data obtained by DTT. Experimental results using real images demonstrate the effectiveness of this method.

Paper Details

Date Published: 1 February 1992
PDF: 10 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57046
Show Author Affiliations
Hiroyasu Taniguchi, Mitsubishi Electric Corp. (Japan)
Haruki Furusawa, Mitsubishi Electric Corp. (Japan)
Akinobu Seki, Mitsubishi Electric Corp. (Japan)
Sigeki Ikebata, Mitsubishi Electric Corp. (Japan)


Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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