引导机器人通过KINECT使用服装颜色信息进行个人识别

Seiji Sugiyama, K. Baba, T. Yoshikawa
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引用次数: 2

摘要

提出了一种基于服装颜色信息(DCI)的引导机器人简单身份识别方法。DCI是通过移动机器人上的KINECT获得的,仅在用户(被引导者)关节位置周围的狭窄区域计算的少量颜色信息。SPI方法不仅包括人的骨骼信息,还包括DCI。该方法可以实时识别特定用户。因此,即使在人多的情况下,移动机器人暂时失去了用户,它也能正确、及时地找到用户。此外,它还可以根据步行速度保持与用户的距离。实验结果表明了该方法的准确性,并给出了目标导引的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guide robot with personal identification method using dress color information via KINECT
In this paper, a Simple Personal Identification (SPI) method using Dress Color Information (DCI) for a guide robot is proposed. The DCI is a small number of color information that is only calculated at narrow areas around a user's (guided person's) joint positions obtained via KINECT on a mobile robot. The SPI method includes not only the person's skeletal information but also the DCI. This method can identify the specific user in real time. As a result, even if the mobile robot loses the user temporarily when there are many people present, it can find the user properly and promptly. In addition, it can maintain the distance to the user according to the walking speed. Experiments that show the accuracy of the SPI method using the DCI and the example of guidance to the destination are presented.
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