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DriastSystem: A Computer Vision Based Device for Real Time Traffic Sign Detection and Recognition

机译:DriastSystem:基于计算机视觉的实时交通标志检测和识别设备

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This paper presents the design and application of novel device for real time traffic sign detection and recognition on a hardware platform powered by Intel® Atom™ processor. Image frames from standard and relatively cheap web cameras are processed using OpenCV library [7][2]. An innovative method is proposed for traffic sign detection phase. Two color models are used for image segmentation and detection of traffic sign. Many well-known and described tactics have been tested and rated. Implemented in OpenCV Library functions for pattern recognition method are also used in main algorithm. Experimental results of traffic sign detection and recognition are described. The prototype was implemented as part of the Master Thesis at Cracow University of Technology [1].
机译:本文介绍了在英特尔®凌动™处理器支持的硬件平台上用于实时交通标志检测和识别的新型设备的设计和应用。使用OpenCV库[7] [2]处理来自标准且相对便宜的网络摄像机的图像帧。提出了一种交通标志检测阶段的创新方法。两种颜色模型用于图像分割和交通标志检测。已经测试和评估了许多众所周知的描述策略。在OpenCV库中实现的用于模式识别方法的功能也用于主要算法中。描述了交通标志检测和识别的实验结果。该原型是克拉科夫工业大学硕士论文的一部分[1]。

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