Geometrical, Physical and Text/Symbol Analysis Based Approach of Traffic Sign Detection System(<Special Section>Advanced Image Technology)
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概要
- 論文の詳細を見る
Traffic sign detection is a valuable part of future driver support system. In this paper, we present a novel framework to accurately detect traffic signs from a single color image by analyzing geometrical, physical and text/symbol features of traffic signs. First, we utilize an elaborate edge detection algorithm to extract edge map and accurate edge pixel gradient information. Then, we extract 2-D geometric primitives (circles, ellipses, rectangles and triangles) efficiently from image edge map. Third, the candidate traffic sign regions are selected by analyzing the intrinsic color features, which are invariant to different illumination conditions, of each region circumvented by geometric primitives. Finally, a text and symbol detection algorithm is introduced to classify true traffic signs. Experimental results demonstrated the capabilities of our algorithm to detect traffic signs with respect to different size, shape, color and illumination conditions.
- 社団法人電子情報通信学会の論文
- 2007-01-01
著者
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GOTO Satoshi
IPS, Waseda University
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GOTO Satoshi
Graduate School of Information, Production and Systems, Waseda University
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Ikenaga Takeshi
Graduate school of Information, Production and Systems, Waseda University
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Ikenaga Takeshi
Graduate School Of Information Production And System Waseda University
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Ikenaga Takeshi
Graduate School Of Ips Waseda University
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Goto Satoshi
Ips Waseda University
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LIU Yangxing
Graduate School of Information, Production and Systems, Waseda University
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Liu Yangxing
Graduate School Of Information Production And Systems Waseda University
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Goto Satoshi
Graduate School Of Information Production And System Waseda University
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IKENAGA Takeshi
Graduate School of Fundamental Science and Engineering, Waseda University
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Goto Satoshi
Graduate School of Infomlation Production and Systems Waseda University
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