Colour-based bottom-up saliency for traffic sign detection

A C Le Ngo; Li-Minn Ang; K P Seng; G Qiu

doi:10.1109/ICCAIE.2010.5735122

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Colour-based bottom-up saliency for traffic sign detection

Conference paper

Peer reviewed

Colour-based bottom-up saliency for traffic sign detection

A C Le Ngo, Li-Minn Ang, K P Seng and G Qiu

2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, pp.453-457

International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), 2010 (Kuala Lumpur, Malaysia, 05-Dec-2010–08-Dec-2010)

Institute of Electrical and Electronics Engineers

2010

DOI: https://doi.org/10.1109/ICCAIE.2010.5735122

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https://doi.org/10.1109/ICCAIE.2010.5735117View

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Abstract

Automotive vision

Computer vision system

Image processing technique

Traffic sign detection

Visual saliency

Automobile electronic equipment

Computer applications

Computer vision

Industrial electronics

Visualization

Traffic signs

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.

Details

Title: Colour-based bottom-up saliency for traffic sign detection
Authors: A C Le Ngo (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - University of Nottingham Malaysia Campus
G Qiu (Author) - University of Nottingham Malaysia Campus
Publication details: 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, pp.453-457
Conference details: International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), 2010 (Kuala Lumpur, Malaysia, 05-Dec-2010–08-Dec-2010)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2010
DOI: 10.1109/ICCAIE.2010.5735122
ISBN: 9781424490547
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513800302621
Output Type: Conference paper

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