Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System

Duong Nguyen Ngoc Tran; Long Hoang Pham; Hyung Joon Jeon; Huy Hung Nguyen; Hyung Min Jeon; Tai Huu Phuong Tran; Jae Wook Jeon

doi:10.1109/CVPRW59228.2023.00563

Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System

Duong Nguyen Ngoc Tran
, Long Hoang Pham
, Hyung Joon Jeon
, Huy Hung Nguyen
, Hyung Min Jeon
, Tai Huu Phuong Tran
, Jae Wook Jeon

Sungkyunkwan University

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

14 Scopus citations

Abstract

Video surveillance-based automatic detection of motorcycle helmet usage can enhance the effectiveness of educational and enforcement initiatives aimed at boosting road safety. Current detection methods, however, have room for enhancement, such as the inability to pinpoint individual motorcycles or differentiate between drivers and passengers in terms of helmet usage. This paper introduces a framework designed to detect and identify individual motorcycles while recording specific helmet usage for riders. The proposed classification approach for helmet usage demonstrates increased efficiency in comparison to previous research. Our findings highlight the exceptional accuracy of deep learning, with our method achieving a score of 0.7754 on the AI City 2023 Challenge Track 5 public leaderboard.

Original language	English
Title of host publication	Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
Publisher	IEEE Computer Society
Pages	5341-5349
Number of pages	9
ISBN (Electronic)	9798350302493
DOIs	https://doi.org/10.1109/CVPRW59228.2023.00563
State	Published - 2023
Externally published	Yes
Event	2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 - Vancouver, Canada Duration: 18 Jun 2023 → 22 Jun 2023

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2023-June
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
Country/Territory	Canada
City	Vancouver
Period	18/06/23 → 22/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/CVPRW59228.2023.00563

Cite this

Tran, D. N. N., Hoang Pham, L., Jeon, H. J., Nguyen, H. H., Jeon, H. M., Tran, T. H. P., & Jeon, J. W. (2023). Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 (pp. 5341-5349). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW59228.2023.00563

Tran, Duong Nguyen Ngoc ; Hoang Pham, Long ; Jeon, Hyung Joon et al. / Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System. Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, 2023. pp. 5341-5349 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

@inproceedings{fc05bc4ba4f040af81095f8359b2b8d6,

title = "Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System",

abstract = "Video surveillance-based automatic detection of motorcycle helmet usage can enhance the effectiveness of educational and enforcement initiatives aimed at boosting road safety. Current detection methods, however, have room for enhancement, such as the inability to pinpoint individual motorcycles or differentiate between drivers and passengers in terms of helmet usage. This paper introduces a framework designed to detect and identify individual motorcycles while recording specific helmet usage for riders. The proposed classification approach for helmet usage demonstrates increased efficiency in comparison to previous research. Our findings highlight the exceptional accuracy of deep learning, with our method achieving a score of 0.7754 on the AI City 2023 Challenge Track 5 public leaderboard.",

author = "Tran, \{Duong Nguyen Ngoc\} and \{Hoang Pham\}, Long and Jeon, \{Hyung Joon\} and Nguyen, \{Huy Hung\} and Jeon, \{Hyung Min\} and Tran, \{Tai Huu Phuong\} and Jeon, \{Jae Wook\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 ; Conference date: 18-06-2023 Through 22-06-2023",

year = "2023",

doi = "10.1109/CVPRW59228.2023.00563",

language = "English",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

pages = "5341--5349",

booktitle = "Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023",

}

Tran, DNN, Hoang Pham, L, Jeon, HJ, Nguyen, HH, Jeon, HM, Tran, THP & Jeon, JW 2023, Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System. in Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2023-June, IEEE Computer Society, pp. 5341-5349, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, Vancouver, Canada, 18/06/23. https://doi.org/10.1109/CVPRW59228.2023.00563

Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System. / Tran, Duong Nguyen Ngoc; Hoang Pham, Long; Jeon, Hyung Joon et al.
Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, 2023. p. 5341-5349 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June).

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

TY - GEN

T1 - Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System

AU - Tran, Duong Nguyen Ngoc

AU - Hoang Pham, Long

AU - Jeon, Hyung Joon

AU - Nguyen, Huy Hung

AU - Jeon, Hyung Min

AU - Tran, Tai Huu Phuong

AU - Jeon, Jae Wook

PY - 2023

Y1 - 2023

N2 - Video surveillance-based automatic detection of motorcycle helmet usage can enhance the effectiveness of educational and enforcement initiatives aimed at boosting road safety. Current detection methods, however, have room for enhancement, such as the inability to pinpoint individual motorcycles or differentiate between drivers and passengers in terms of helmet usage. This paper introduces a framework designed to detect and identify individual motorcycles while recording specific helmet usage for riders. The proposed classification approach for helmet usage demonstrates increased efficiency in comparison to previous research. Our findings highlight the exceptional accuracy of deep learning, with our method achieving a score of 0.7754 on the AI City 2023 Challenge Track 5 public leaderboard.

AB - Video surveillance-based automatic detection of motorcycle helmet usage can enhance the effectiveness of educational and enforcement initiatives aimed at boosting road safety. Current detection methods, however, have room for enhancement, such as the inability to pinpoint individual motorcycles or differentiate between drivers and passengers in terms of helmet usage. This paper introduces a framework designed to detect and identify individual motorcycles while recording specific helmet usage for riders. The proposed classification approach for helmet usage demonstrates increased efficiency in comparison to previous research. Our findings highlight the exceptional accuracy of deep learning, with our method achieving a score of 0.7754 on the AI City 2023 Challenge Track 5 public leaderboard.

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U2 - 10.1109/CVPRW59228.2023.00563

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M3 - Conference contribution

AN - SCOPUS:85170827429

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SP - 5341

EP - 5349

BT - Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

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Y2 - 18 June 2023 through 22 June 2023

ER -

Tran DNN, Hoang Pham L, Jeon HJ, Nguyen HH, Jeon HM, Tran THP et al. Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society. 2023. p. 5341-5349. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW59228.2023.00563

Robust Automatic Motorcycle Helmet Violation Detection for an Intelligent Transportation System

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UN SDGs

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