Detection of pedestrian crossing using bipolarity feature-an image-based technique
Detection of pedestrian crossing using bipolarity feature-an image-based technique
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DOI：
10.1109/tits.2005.858787
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发表时间：
2005-12
影响因子：
8.5
通讯作者：
Mohammad Shorif Uddin;T. Shioyama
中科院分区：
文献类型：
--
作者：
Mohammad Shorif Uddin;T. Shioyama
本文提出了一种新的方法来检测行人过马路，以提高盲人过马路时的安全性和流动性。对于盲人来说，知道前方区域是否是十字路口是非常重要的。在十字路口，通常的黑色路面被涂上恒定宽度的周期性白色带。一种基于图像的技术已经被开发用于检测行人过街的双极模式。通过对人行横道宽度、方向、带数以及带宽变化趋势的分析，推断人行横道的存在。使用100个真实的图像，并没有交叉所提出的方法进行了实验评估。结果发现，所提出的技术执行95%的准确性，没有假阳性。
This paper presents a novel approach for detecting pedestrian crossings to enhance the safety and mobility of blind people while crossing a road. It is extremely important for a blind person to know whether a frontal area is a crossing or not. In a crossing, the usual black road surface is painted with constant-width periodic white bands. An image-based technique has been developed to detect the bipolar patterns of pedestrian crossings. The presence of pedestrian crossings are inferred by careful analysis of crossing width, crossing direction, number of crossing bands, as well as bandwidth trend. Experimental evaluation of the proposed approach was conducted using 100 real images with and without crossings. It was found that the proposed technique performed with 95% accuracy and with no false positive.