|
Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/3319
|
| Title: | Traffic sign detection and classification using colour and shape cues |
| Authors: | Senekal, FP |
| Keywords: | Road traffic signs
Colour analysis
Detection
Algorithms
Labelling
Filtering
Shape fitting
Classification
PRASA 2008 |
| Issue Date: | Nov-2008 |
| Publisher: | PRASA 2008 |
| Citation: | Senekal, FP. 2008. Traffic sign detection and classification using colour and shape cues. 19th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008), Cape Town, South Africa, 27-28 November 2008, pp 6 |
| Abstract: | This paper presents a new technique for the recognition of road traffic signs. The technique is based on colour and shape analysis of a single image. It is aimed at the detection and classification of triangular traffic signs, such as warning and yield signs. The technique is applied to a set of images obtained from a camera mounted on a moving vehicle. Good detection and classification performance is achieved |
| Description: | 19th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008), Cape Town, South Africa |
| URI: | http://hdl.handle.net/10204/3319 |
| ISBN: | 9780799223507 |
| Appears in Collections: | Mobile intelligent autonomous systems
General science, engineering & technology
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
