Real-time radial symmetry for speed sign detection

Date

2004

Authors

Barnes, Nick
Zelinsky, Alex

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Algorithms for classifying road signs have a high computational cost per pixel processed. A promising approach to real-time sign detection is to reduce the number of pixels to be classified as being a particular sign to a minimum by some form of sign detection on the image using less time expensive algorithms. In this paper, we adapt the fast radial symmetry detector to the image stream from a camera mounted in a car eliminate almost all non-sign pixels from the image stream. We then are able to apply normalised cross-correlation to classify the signs. This method is suitable for circular signs only; we apply it to Australian speed signs in this paper. Our results show that it is robust to a broad range of lighting conditions. Also, as the method is fast, there is no need to make unrealistically strict assumptions about image structure.

Description

Keywords

Keywords: Cameras; Charge coupled devices; Edge detection; Illuminating engineering; Image processing; Intelligent vehicle highway systems; Real time systems; Roads and streets; Simulated annealing; Color segmentation; Road signs; Sign recognition; Speed signs; Tra

Citation

Source

Proceedings of the IEEE Intelligent Vehicles Symposium

Type

Conference paper

Book Title

Entity type

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DOI

Restricted until

2037-12-31