Dominant Color Transform and Circular Pattern Vector for Traffic Sign Detection and Recognition
Summary :
In this paper, a new traffic sign detection algorithm and a symbol recognition algorithm are proposed. For a traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For a symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of the symbol, called a circular pattern vector, is used as a spatial feature of the symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.6 pp.1128-1135
- Publication Date
- 1998/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section of Papers Selected from ITC-CSCC'97)
- Category
- Image Theory
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Keyword
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Jung Hak AN, Tae Young CHOI, "Dominant Color Transform and Circular Pattern Vector for Traffic Sign Detection and Recognition" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 6, pp. 1128-1135, June 1998, doi: .
Abstract: In this paper, a new traffic sign detection algorithm and a symbol recognition algorithm are proposed. For a traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For a symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of the symbol, called a circular pattern vector, is used as a spatial feature of the symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_6_1128/_p
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@ARTICLE{e81-a_6_1128,
author={Jung Hak AN, Tae Young CHOI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Dominant Color Transform and Circular Pattern Vector for Traffic Sign Detection and Recognition},
year={1998},
volume={E81-A},
number={6},
pages={1128-1135},
abstract={In this paper, a new traffic sign detection algorithm and a symbol recognition algorithm are proposed. For a traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For a symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of the symbol, called a circular pattern vector, is used as a spatial feature of the symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Dominant Color Transform and Circular Pattern Vector for Traffic Sign Detection and Recognition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1128
EP - 1135
AU - Jung Hak AN
AU - Tae Young CHOI
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1998
AB - In this paper, a new traffic sign detection algorithm and a symbol recognition algorithm are proposed. For a traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For a symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of the symbol, called a circular pattern vector, is used as a spatial feature of the symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed.
ER -
English
