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Proceedings Paper

A semi-automatic traffic sign detection, classification, and positioning system
Author(s): I. M. Creusen; L. Hazelhoff; P. H. N. de With
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Paper Abstract

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introduces a complete semi-automatic traffic sign inventory system. The system consists of several components. First, a detection algorithm locates the 2D position of the traffic signs in the panoramic images. Second, a classification algorithm is used to identify the traffic sign. Third, the 3D position of the traffic sign is calculated using the GPS position of the photographs. Finally, the results are listed in a table for quick inspection and are also visualized in a web browser.

Paper Details

Date Published: 15 February 2012
PDF: 6 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050Y (15 February 2012); doi: 10.1117/12.908552
Show Author Affiliations
I. M. Creusen, CycloMedia Technology B.V. (Netherlands)
Technische Univ. Eindhoven (Netherlands)
L. Hazelhoff, CycloMedia Technology B.V. (Netherlands)
Technische Univ. Eindhoven (Netherlands)
P. H. N. de With, CycloMedia Technology B.V. (Netherlands)
Technische Univ. Eindhoven (Netherlands)


Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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