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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paulo, C.F. Correia, P.L. |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. de Telecomunicacoes, Lisbon (Paulo, C.F.; Correia, P.L.) |
| Abstract | This paper proposes algorithms for the automatic detection of traffic signs from photo or video images and their classification to provide a driver alert system. Several examples taken from Portuguese roads are used to demonstrate the effectiveness of the proposed system. Traffic signs are detected by analyzing color information, notably red and blue, contained on the images. The detected signs are then classified according to their shape characteristics, as triangular, squared and circular shapes. Combining color and shape information, traffic signs are classified into one of the following classes: danger, information, obligation or prohibition. Both the detection and classification algorithms include innovative components to improve the overall system performance. |
| Starting Page | 11 |
| Ending Page | 11 |
| File Size | 289828 |
| Page Count | 1 |
| File Format | |
| ISBN | 076952818X |
| DOI | 10.1109/WIAMIS.2007.24 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-06 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Image edge detection Telecommunication traffic color image analysis shape analysis Traffic sign detection Information analysis Global Positioning System Image analysis Road accidents Image color analysis Databases Vehicle safety |
| Content Type | Text |
| Resource Type | Article |
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