An Overview of Traffic Signs Recognition Methods
نویسندگان
چکیده
منابع مشابه
An Overview of Traffic Signs Recognition Methods
Image processing has many areas of applications like in metrological prediction of weather conditions, medical science, artificial intelligence, robotics etc. Traffic signs recognition system is in fact the most happening area of research these days. As the world is moving towards the driverless vehicles, a more automated world is the utmost requirement for improving the road safety. Such syste...
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Network traffic classification can be used to identify different applications and protocols that exist in a network. Actions such as monitoring, discovery, control and optimization can be performed by using classified network traffic. The overall goal of network traffic classification is improving the network performance. Once the packets are classified as belonging to a particular application,...
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This paper reviews the popular traffic sign detection methods prevalent in recent literature. The methods are divided into three categories: color-based, shape-based, and learningbased. Color-based detection methods from eleven different works are studied and summarized in a table for easy reference. Three shape-based detection methods are presented, and a recent method based on Hough transform...
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Traffic Sign Recognition (TSR) is now relatively well-handled by several approaches. However, traffic signs are often completed by one (or several) supplementary placed below. They are essential for correct interpretation of main sign, as they specify its applicability scope. difficulty of supplementary sub-sign recognition potentially infinite number of classes, as nearly any can be written on...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017914524