Simultaneous Crowd Counting and Localization by WiFi CSI

Hyuckjin Choi, Tomokazu Matsui, Manato Fujimoto, K. Yasumoto
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引用次数: 1

Abstract

Crowd estimation is considered as an attractive technique for indoor energy saving, route guidance, etc. Generally, crowd estimation consists of crowd density estimation and crowd counting. In vision-based approach of crowd estimation, there are several researches addressing both crowd counting and localization. However, most of sensor or radio-based approaches are focusing on crowd counting only. In this study, we assess the potential of simultaneous crowd counting and localization by using WiFi CSI and machine learning.
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同时人群计数和定位的WiFi CSI
人群估计被认为是一种有吸引力的室内节能、路线引导等技术。一般来说,人群估计包括人群密度估计和人群计数。在基于视觉的人群估计方法中,有一些研究同时解决了人群计数和定位问题。然而,大多数基于传感器或无线电的方法只关注人群计数。在本研究中,我们通过使用WiFi CSI和机器学习来评估同时进行人群计数和定位的潜力。
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