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

Authors:
Won J. Jeon;Gustavo Adrian Ruiz Sanchez;Taewoo Lee;Yeongwoo Choi;Byeongdae Woo;Kwangyong Lim;Hyeran Byun
Affiliations:
Samsung R&D Center, San Jose, CA;Yonsei University, Seodaemun-Gu, Seoul, Korea;Yonsei University, Seodaemun-Gu, Seoul, Korea;Sookmyung Women's University, Chungpa, Yongsan-Gu, Seoul, Korea;Yonsei University, Seodaemun-Gu, Seoul, Korea;Yonsei University, Seodaemun-Gu, Seoul, Korea;Yonsei University, Seodaemun-Gu, Seoul, Korea
Venue:
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Year:
2014

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IEEE Transactions on Intelligent Transportation Systems

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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.