Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention

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

doi:10.1109/ICCSIT.2010.5564495

Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention

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

Materials and Manufacturing Engineering

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

Abstract

Lane mark extraction and detection system gives vital infonnation for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transfonn (PFT) and Quadrature Phase Fourier Transfonn (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from VNMC-VIER Autovision database and it could detect discrete lane marks accurately.

Original language	English
Title of host publication	Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Publisher	IEEE Computer Society
Pages	55-59
Number of pages	5
ISBN (Print)	9781424455386
DOIs	https://doi.org/10.1109/ICCSIT.2010.5564495
Publication status	Published - 2010
Externally published	Yes

Publication series

Name	Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume	9

Keywords

Frequency-based saliency
Lane detection
Lane extraction
PFT
QPFT
Saliency map

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10.1109/ICCSIT.2010.5564495

Cite this

Le Ngo, A. C., Ang, L. M., Seng, K. P., & Qiu, G. (2010). Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 (pp. 55-59). Article 5564495 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010; Vol. 9). IEEE Computer Society. https://doi.org/10.1109/ICCSIT.2010.5564495

Le Ngo, Anh Cat ; Ang, Li Minn ; Seng, Kah Phooi et al. / Notice of Retraction : Lane-mark extraction by frequency-based saliency visual attention. Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. IEEE Computer Society, 2010. pp. 55-59 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010).

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title = "Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention",

abstract = "Lane mark extraction and detection system gives vital infonnation for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transfonn (PFT) and Quadrature Phase Fourier Transfonn (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from VNMC-VIER Autovision database and it could detect discrete lane marks accurately.",

keywords = "Frequency-based saliency, Lane detection, Lane extraction, PFT, QPFT, Saliency map",

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

year = "2010",

doi = "10.1109/ICCSIT.2010.5564495",

language = "English",

isbn = "9781424455386",

series = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",

publisher = "IEEE Computer Society",

pages = "55--59",

booktitle = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",

}

Le Ngo, AC, Ang, LM, Seng, KP & Qiu, G 2010, Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention. in Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010., 5564495, Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, vol. 9, IEEE Computer Society, pp. 55-59. https://doi.org/10.1109/ICCSIT.2010.5564495

Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention. / Le Ngo, Anh Cat; Ang, Li Minn; Seng, Kah Phooi et al.
Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. IEEE Computer Society, 2010. p. 55-59 5564495 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010; Vol. 9).

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Notice of Retraction

T2 - Lane-mark extraction by frequency-based saliency visual attention

AU - Le Ngo, Anh Cat

AU - Ang, Li Minn

AU - Seng, Kah Phooi

AU - Qiu, Guoping

PY - 2010

Y1 - 2010

N2 - Lane mark extraction and detection system gives vital infonnation for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transfonn (PFT) and Quadrature Phase Fourier Transfonn (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from VNMC-VIER Autovision database and it could detect discrete lane marks accurately.

AB - Lane mark extraction and detection system gives vital infonnation for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transfonn (PFT) and Quadrature Phase Fourier Transfonn (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from VNMC-VIER Autovision database and it could detect discrete lane marks accurately.

KW - Frequency-based saliency

KW - Lane detection

KW - Lane extraction

KW - PFT

KW - QPFT

KW - Saliency map

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T3 - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

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BT - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

PB - IEEE Computer Society

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Le Ngo AC, Ang LM, Seng KP, Qiu G. Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. IEEE Computer Society. 2010. p. 55-59. 5564495. (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010). doi: 10.1109/ICCSIT.2010.5564495

Notice of Retraction: Lane-mark extraction by frequency-based saliency visual attention

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