文章基本信息

标题：Improved Traffic Signal Detection and Classification via Image Processing Algorithms
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作者：Leonardo Bruno ; Leonardo Bruno ; Giuseppe Parla 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：53
页码：810-820
DOI：10.1016/j.sbspro.2012.09.930
语种：English
出版社：Elsevier
摘要：AbstractAn image analysis technique for automatic traffic sign detection and classification is proposed. It makes it possible, after proper training, to detect, recognize and classify vertical road signs from video frames acquired on a moving vehicle equipped with cameras, as well as to identify anomalies with respect to road sign regulations (positioning and visibility).The experimental results show that this technique allows one to correctly detect and classify almost all vertical signs and, mainly in extra-urban environment, it can be considered as highly reliable, apart from being really versatile and user-friendly for road inventory and road maintenance purposes.
关键词：Road signal;Automatic detection;Tracking and classification;Maintenance