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, Oulahhajthami, R, Romadi, R, Chiheb, R
Conference Name2014 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA'14)
PublisherIEEE; IEEE Morocco
ISBN Number978-1-4799-3566-6
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.

Revues: 

Partenaires

Localisation


Location map

Suivez-nous sur

  

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

Résultat de recherche d'images pour "icone fax" Télécopie : (+212) 5 37 77 72 30

    Compteur de visiteurs:287,926
    Education - This is a contributing Drupal Theme
    Design by WeebPal.