基于图像学习的人体定位算法设计

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2021-04-13 DOI:10.1109/ICAIIC51459.2021.9415237

Tae-Wan Kim, Dong Myung Lee

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引用次数: 0

摘要

本文提出了一种基于学习的基于图像的人体定位算法，克服了基于指纹地图在硬件设备上定位的缺点，并通过实验验证了人体定位的精度。该算法的核心部分是人体定位图(HPM)的学习阶段和人体定位阶段。实验结果表明，所提出算法的人体识别准确率在6米到6米之间时，识别准确率达到99.74%以上。

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A Design of Learning based Human Positioning Algorithm using Images

In this paper, a learning based human positioning algorithm using image was proposed to overcome the disadvantages of fingerprint map-based localization on hardware devices, and the human positioning accuracy was also verified through an experiment. The core parts of proposed algorithm are the learning phase of human positioning map (HPM) and human positioning phase. As a result of the experiment, the human recognition accuracy of proposed algorithm showed a high recognition accuracy of over 99.74% when a person moves between Om and 6m.

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2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

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