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

Research output: Contribution to conferencePaper

2 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 languageEnglish
DOIs
Publication statusPublished - 2014 Jan 1
Event8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 - Siem Reap, Cambodia
Duration: 2014 Jan 92014 Jan 11

Other

Other8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014
CountryCambodia
CitySiem Reap
Period14/1/914/1/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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    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