AUTOMATIC RECOGNITION OF ROAD SIGNS IN DIGITAL IMAGES FOR GIS UPDATE

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

marcal, ars (Author) FCUP; goncalves, ir (Author) Other

Conference proceedings International

Title: Proceedings of the 1st International Conference on Imaging Theory and Applications (IMAGAPP)

Pages: 129-134

1st International Conference on Imaging Theory and Applications (IMAGAPP) Lisboa, Portugal 5-8 February 2009

Lisboa, Portugal, 5-8 February 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-003-QHK

Abstract (EN): A method for automatic recognition of road signs identified in digital video images is proposed. The method is based on features extracted from cumulative histograms and supervised classification. The training of the classifier is done with a small number of images (I to 6) from each sign type. A practical experiment with 260 images and 26 different road sign was carried out. The average classification accuracy of the method with the standard settings was found to be 93.6%. The classification accuracy is improved to 96.2% by accepting the sign types ranked 1(st) and 2(nd) by the classifier, and to 97.4% by also accepting the sign type ranked 3(rd). These results indicate that this can be a valuable tool to assist Geographic Information System (GIS) updating process based on Mobile Mapping System (MMS) data.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6