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Colour-based bottom-up saliency for traffic sign detection

conference contribution
posted on 2023-01-27, 04:07 authored by Anh Cat Le Ngo, L M Ang, K P Seng, G Qiu
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. © 2010 IEEE.



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Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics

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