Colour-based bottom-up saliency for traffic sign detection

Anh Cat Le Ngo, Li Minn Ang, Kah Phoai Seng, Guoping Qiu

Research output: Book chapter/Published conference paperConference paperpeer-review

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 languageEnglish
Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages453-457
Number of pages5
DOIs
Publication statusPublished - 01 Dec 2010
Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur, Malaysia
Duration: 05 Dec 201007 Dec 2010

Conference

Conference2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
CountryMalaysia
CityKuala Lumpur
Period05/12/1007/12/10

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