Real-Time Traffic Sign Detection and Recognition

E. Herbschleb, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

The continuous growth of imaging databases increasingly requires analysis tools for extraction of features. In this paper, a new architecture for the detection of traffic signs is proposed. The architecture is designed to process a large database with tens of millions of images with a resolution up to 4,800x2,400 pixels. Because of the size of the database, a high reliability as well as a high throughput is required. The novel architecture consists of a three-stage algorithm with multiple steps per stage, combining both color and specific spatial information. The first stage contains an area-limitation step which is performance critical in both the detection rate as the overall processing time. The second stage locates suggestions for traffic signs using recently published feature processing. The third stage contains a validation step to enhance reliability of the algorithm. During this stage, the traffic signs are recognized. Experiments show a convincing detection rate of 99%. With respect to computational speed, the throughput for line-of-sight images of 800×600 pixels is 35 Hz and for panorama images it is 4 Hz. Our novel architecture outperforms existing algorithms, with respect to both detection rate and throughput
Original languageEnglish
Title of host publicationProceedings of Visual Communications and Image Processing VCIP 2009, 18-22 January, 2009, San Jose, California
Place of PublicationBellingham
PublisherSPIE
Pages7257-OA1/2
ISBN (Print)978-0-8194-7507-7
DOIs
Publication statusPublished - 2010
EventVisual Communications and Image Processing 2009 (VCIP 2009), January 20–22, 2009, San Jose, CA, USA - San Jose, CA, United States
Duration: 20 Jan 200922 Jan 2009

Publication series

NameProceedings of SPIE
Volume7252
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2009 (VCIP 2009), January 20–22, 2009, San Jose, CA, USA
Abbreviated titleVCIP 2009
CountryUnited States
CitySan Jose, CA
Period20/01/0922/01/09

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  • Cite this

    Herbschleb, E., & With, de, P. H. N. (2010). Real-Time Traffic Sign Detection and Recognition. In Proceedings of Visual Communications and Image Processing VCIP 2009, 18-22 January, 2009, San Jose, California (pp. 7257-OA1/2). (Proceedings of SPIE; Vol. 7252). SPIE. https://doi.org/10.1117/12.806171