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.
|Title of host publication||ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics|
|Number of pages||5|
|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||2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010|
|Period||05/12/10 → 07/12/10|