TSRS -一种基于sift算法的交通标志识别新方法

Q3 Social Sciences
F. A. Silva, D. R. Pereira, J. F. C. Silva, A. O. Artero, M. A. Piteri
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引用次数: 0

摘要

本文提出了一种利用低成本地图系统捕获的图像进行交通标志识别的新方法。所提出的方法应用SIFT算法来提取关键点特征,这些特征用于评估包含一个或多个车牌的道路图像与交通标志(模板)的图像之间的对应性。使用BBF算法来有效地评估SIFT特征之间的对应性。最后,我们提出了一种新的算法,只过滤兼容的关键点对(图像模板)以及方向和定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TSRS - A NEW APPROACH FOR TRAFFIC SIGN RECOGNITION USING THE SIFT ALGORITHM
This paper proposes a new approach for traffic sign recognition using images captured by a low-cost mapping system. The proposed approach applies the SIFT algorithm to extract keypoint features that are used to evaluate the correspondences between a road image containing one or more plates and the images of traffic signs (templates). The BBF algorithm was used to efficiently evaluate the correspondence between the SIFT features. Finally, we propose a new algorithm to filter only the pairs of keypoints (image-template) that are compatible as well as the orientation and positioning.
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来源期刊
Journal of Urban and Environmental Engineering
Journal of Urban and Environmental Engineering Social Sciences-Urban Studies
CiteScore
0.90
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Urban and Environmental Engineering (JUEE) provides a forum for original papers and for the exchange of information and views on significant developments in urban and environmental engineering worldwide. The scope of the journal includes: (a) Water Resources and Waste Management [...] (b) Constructions and Environment[...] (c) Urban Design[...] (d) Transportation Engineering[...] The Editors welcome original papers, scientific notes and discussions, in English, in those and related topics. All papers submitted to the Journal are peer reviewed by an international panel of Associate Editors and other experts. Authors are encouraged to suggest potential referees with their submission. Authors will have to confirm that the work, or any part of it, has not been published before and is not presently being considered for publication elsewhere.
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