Detection and recognition of road signs in a video stream based on the shape of the panels

TitreDetection and recognition of road signs in a video stream based on the shape of the panels
Publication TypeConference Paper
Year of Publication2014
AuthorsRomadi, M, R. Thami, OHaj, Romadi, R, Chiheb, R
Conference Name2014 9th International Conference on Intelligent Systems: Theories and Applications, SITA 2014
Abstract

In this paper, we present a robust approach of automatic detection and recognition of road signs in national roads, starting from the images resulting from a video stream taken by a camera embarked on a vehicle. Our approach is composed of three main phases: the first phase is to extract video stream images containing a circle or a triangle. This extraction is performed respectively by Hough transformation and Ramer-Douglas-Peucker filter, the second phase consists of extraction areas of the calculated image, in the previous phase. In the third and last phase, we proceed to a matching of the extracted image areas with signs of reference by comparison of interest points extracted by the SURF method and the matching method FLANN. © 2014 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904598231&doi=10.1109%2fSITA.2014.6847285&partnerID=40&md5=62713d5791e141de32775236f194bb72
DOI10.1109/SITA.2014.6847285
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