Detecting Signage and Doors for Blind Navigation and Wayfinding.
Detecting Signage and Doors for Blind Navigation and Wayfinding.
复制标题
检测标牌和门以进行盲导航和寻路。
DOI：
10.1007/s13721-013-0027-9
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发表时间：
2013
影响因子：
2.3
通讯作者：
Tian,Yingli
中科院分区：
文献类型：
--
作者：
Wang,Shuihua;Yang,Xiaodong;Tian,Yingli
在导航和寻路应用中，标牌在寻找目的地方面起着非常重要的作用。在本文中，我们提出了一种新的框架来检测门和标志，以帮助盲人进入不熟悉的室内环境。为了消除干扰信息，提高标牌检测的准确性，首先使用显著图提取关注区域。然后使用二部图匹配在参与区域中检测标牌。该方法可以处理多个标牌的检测。此外，为了给盲人用户提供更多的信息来访问与检测到的标志相关联的区域，我们提出了一种基于独立于门外观的几何门框模型的门检测方法。在收集到的室内标识和门的数据集上的实验结果证明了该方法的有效性和高效性。
Signage plays a very important role to find destinations in applications of navigation and wayfinding. In this paper, we propose a novel framework to detect doors and signage to help blind people accessing unfamiliar indoor environments. In order to eliminate the interference information and improve the accuracy of signage detection, we first extract the attended areas using a saliency map. Then the signage is detected in the attended areas using a bipartite graph matching. The proposed method can handle multiple signage detection. Furthermore, in order to provide more information for blind users to access the area associated with the detected signage, we develop a robust method to detect doors based on a geometric door frame model which is independent to door appearances. Experimental results on our collected datasets of indoor signage and doors demonstrate the effectiveness and efficiency of our proposed method.