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초록
We present an accurate and efficient system for traffic sign recognition in a real-world driving scene video. The proposed system uses local structure features to achieve high, illumination-invariant accuracy in detection and recognition. We exploit a property of traffic signs, namely, shared boundary shapes, to enhance the speed and accuracy of the detection step. A multi-level SVM structure is employed for stable recognition. The proposed method can process real-world road driving scene video in real time with high accuracy, over 98%, in both detection and recognition. © International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015.All right reserved.
키워드
8bit modified census transform; Illumination invariant; Multi-level SVM; Traffic sign detection; Traffic sign recognition; Computer vision; Census transforms; Illumination invariant; Multilevels; Traffic sign detection; Traffic sign recognition; Traffic signs
- 제목
- A real-time traffic sign recognition system based on local structure features
- 저자
- Lim, Kwangyong; Byun, Hyeran; Choi, Yeongwoo
- 발행일
- 2015-07
- 유형
- Conference Paper
- 저널명
- Proceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
- 페이지
- 65 ~ 68
- 언어
- ENG
- 출판사
- CSREA Press
- 발행국가
- 미국
- 분량
- 4 페이지
- ISSN
- P 0000-0000