Colour-based bottom-up saliency for traffic sign detection

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

doi:10.1109/ICCAIE.2010.5735122

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 paper › Conference paper › peer-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 language	English
Title of host publication	ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages	453-457
Number of pages	5
DOIs	https://doi.org/10.1109/ICCAIE.2010.5735122
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
Country	Malaysia
City	Kuala Lumpur
Period	05/12/10 → 07/12/10

Access to Document

10.1109/ICCAIE.2010.5735122

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Cite this

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title = "Colour-based bottom-up saliency for traffic sign detection",

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.",

author = "{Le Ngo}, {Anh Cat} and Ang, {Li Minn} and Seng, {Kah Phoai} and Guoping Qiu",

year = "2010",

month = dec,

day = "1",

doi = "10.1109/ICCAIE.2010.5735122",

language = "English",

isbn = "9781424490554",

pages = "453--457",

booktitle = "ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics",

note = "2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 ; Conference date: 05-12-2010 Through 07-12-2010",

}

Le Ngo, AC, Ang, LM, Seng, KP & Qiu, G 2010, Colour-based bottom-up saliency for traffic sign detection. in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics., 5735122, pp. 453-457, 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, Kuala Lumpur, Malaysia, 05/12/10. https://doi.org/10.1109/ICCAIE.2010.5735122

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AU - Le Ngo, Anh Cat

AU - Ang, Li Minn

AU - Seng, Kah Phoai

AU - Qiu, Guoping

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

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

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