Abstract
On roads, drivers can detect traffic sign extraordinarily fast and accurately; however, the computer vision system does not easily imitate this natural ability although using a lot of image processing techniques. This weakness can be tackled by a bottom-up visual saliency method based on traffic-sign colours which occupy certain ranges of RGB values. These values can be used to modulate the bottom-up visual saliency, so the proposed system can focus on traffic signs detection. The method is tested on the UNMC Automotive Vision Database and compared with results of the purely bottom-up visual saliency method.
Original language | English |
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Title of host publication | ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics |
Pages | 453-457 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 01 Dec 2010 |
Event | 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur, Malaysia Duration: 05 Dec 2010 → 07 Dec 2010 |
Conference
Conference | 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 |
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Country | Malaysia |
City | Kuala Lumpur |
Period | 05/12/10 → 07/12/10 |