Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
2011 (English)In: Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings / [ed] Anders Heyden, Fredrik Kahl, Springer Berlin/Heidelberg, 2011, 238-249 p.Conference paper (Refereed)
Traffic sign recognition is important for the development of driver assistance systems and fully autonomous vehicles. Even though GPS navigator systems works well for most of the time, there will always be situations when they fail. In these cases, robust vision based systems are required. Traffic signs are designed to have distinct colored fields separated by sharp boundaries. We propose to use locally segmented contours combined with an implicit star-shaped object model as prototypes for the different sign classes. The contours are described by Fourier descriptors. Matching of a query image to the sign prototype database is done by exhaustive search. This is done efficiently by using the correlation based matching scheme for Fourier descriptors and a fast cascaded matching scheme for enforcing the spatial requirements. We demonstrated on a publicly available database state of the art performance.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2011. 238-249 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 6688
Traffic sign recognition – Fourier descriptors – spatial models – traffic sign dataset
National CategoryComputer Science
IdentifiersURN: urn:nbn:se:liu:diva-69521DOI: 10.1007/978-3-642-21227-7_23ISI: 000308543900023ISBN: 978-3-642-21226-0 (Print)ISBN: 978-3-642-21227-7 (Online)OAI: oai:DiVA.org:liu-69521DiVA: diva2:428290
17th Scandinavian Conference on Image Analysis (SCIA), Ystad, Sweden, May 23-27, 2011
Original Publication: Fredrik Larsson and Michael Felsberg, Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition, SCIA konferens, 23-27 May 2011, Ystad Sweden, 2011, Lecture Notes in Computer Science, Image Analysis, 238-249. http://dx.doi.org/10.1007/978-3-642-21227-7_23 Copyright: Springer2011-06-302011-06-302015-01-23Bibliographically approved