Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade

Won J. Jeon; Taewoo Lee; Byeongdae Woo; Kwangyong Lim; Gustavo Adrian Ruiz Sanchez; Yeongwoo Choi; Hyeran Byun

doi:10.1145/2557977.2558091

Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade

Won J. Jeon, Taewoo Lee, Byeongdae Woo, Kwangyong Lim, Gustavo Adrian Ruiz Sanchez, Yeongwoo Choi, Hyeran Byun

College of Computing

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

Along with the development of the intelligent vehicle, the Advanced Driver Assistance System(ADAS) has recently become an important issue. Traffic signs on the road provide crucial information to the driver. Recognizing all the traffic signs on the side of the road can be a difficult task for a driver who should watch the road ahead. To solve this problem, this paper proposes real-time detection methods using Haar-like features in a real road driving environment. We implement a reliable reduction method of the search area to improve the detection speed, masking methods and histogram equalization to improve the detection rate. The proposed method has shown higher detection rate and two times faster performance time than previous works.

Original language	English
DOIs	https://doi.org/10.1145/2557977.2558091
Publication status	Published - 2014
Event	8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 - Siem Reap, Cambodia Duration: 2014 Jan 9 → 2014 Jan 11

Other

Other	8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014
Country/Territory	Cambodia
City	Siem Reap
Period	14/1/9 → 14/1/11

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems

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10.1145/2557977.2558091

Cite this

Jeon, W. J., Lee, T., Woo, B., Lim, K., Ruiz Sanchez, G. A., Choi, Y., & Byun, H. (2014). Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade. Paper presented at 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, Siem Reap, Cambodia. https://doi.org/10.1145/2557977.2558091

@conference{b6a025a8ca8c4ac48812a23456f17d06,

title = "Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade",

abstract = "Along with the development of the intelligent vehicle, the Advanced Driver Assistance System(ADAS) has recently become an important issue. Traffic signs on the road provide crucial information to the driver. Recognizing all the traffic signs on the side of the road can be a difficult task for a driver who should watch the road ahead. To solve this problem, this paper proposes real-time detection methods using Haar-like features in a real road driving environment. We implement a reliable reduction method of the search area to improve the detection speed, masking methods and histogram equalization to improve the detection rate. The proposed method has shown higher detection rate and two times faster performance time than previous works.",

author = "Jeon, {Won J.} and Taewoo Lee and Byeongdae Woo and Kwangyong Lim and {Ruiz Sanchez}, {Gustavo Adrian} and Yeongwoo Choi and Hyeran Byun",

year = "2014",

doi = "10.1145/2557977.2558091",

language = "English",

note = "8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 ; Conference date: 09-01-2014 Through 11-01-2014",

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Jeon, WJ, Lee, T, Woo, B, Lim, K, Ruiz Sanchez, GA, Choi, Y & Byun, H 2014, 'Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade', Paper presented at 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, Siem Reap, Cambodia, 14/1/9 - 14/1/11. https://doi.org/10.1145/2557977.2558091

Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade. / Jeon, Won J.; Lee, Taewoo; Woo, Byeongdae et al.
2014. Paper presented at 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, Siem Reap, Cambodia.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade

AU - Jeon, Won J.

AU - Lee, Taewoo

AU - Woo, Byeongdae

AU - Lim, Kwangyong

AU - Ruiz Sanchez, Gustavo Adrian

AU - Choi, Yeongwoo

AU - Byun, Hyeran

PY - 2014

Y1 - 2014

N2 - Along with the development of the intelligent vehicle, the Advanced Driver Assistance System(ADAS) has recently become an important issue. Traffic signs on the road provide crucial information to the driver. Recognizing all the traffic signs on the side of the road can be a difficult task for a driver who should watch the road ahead. To solve this problem, this paper proposes real-time detection methods using Haar-like features in a real road driving environment. We implement a reliable reduction method of the search area to improve the detection speed, masking methods and histogram equalization to improve the detection rate. The proposed method has shown higher detection rate and two times faster performance time than previous works.

AB - Along with the development of the intelligent vehicle, the Advanced Driver Assistance System(ADAS) has recently become an important issue. Traffic signs on the road provide crucial information to the driver. Recognizing all the traffic signs on the side of the road can be a difficult task for a driver who should watch the road ahead. To solve this problem, this paper proposes real-time detection methods using Haar-like features in a real road driving environment. We implement a reliable reduction method of the search area to improve the detection speed, masking methods and histogram equalization to improve the detection rate. The proposed method has shown higher detection rate and two times faster performance time than previous works.

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T2 - 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014

Y2 - 9 January 2014 through 11 January 2014

ER -

Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade

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