Pedestrian Counting Based on Piezoelectric Vibration Sensor
Pedestrian Counting Based on Piezoelectric Vibration Sensor
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DOI：
10.3390/app12041920
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发表时间：
2022-02-01
影响因子：
2.7
通讯作者：
Weis, Torben
中科院分区：
文献类型：
--
作者：
Yu, Yang;Qin, Xiangju;Weis, Torben
行人计数因其在许多现实场景中的广泛应用而引起了学术界和工业界的极大兴趣。虽然最近的许多研究都集中在基于计算机视觉的解决方案上，但摄像头的部署引发了对隐私侵犯的担忧。本文提出了一种新颖的室内行人计数方法，该方法基于压电传感器的脚步引起的结构振动信号。该方法可以保护隐私，因为不会获取音频或视频数据。我们的方法分析行人脚步引起的振动信号的空间差异特征并输出行人的数量。所提出的方法支持多个行人一起行走并进行信号混合。而且，它对检测区域内步行人群的数量没有要求。实验结果表明，我们的方法的平均 F1 分数超过 0.98，这优于基于振动信号的最先进方法。
Pedestrian counting has attracted much interest of the academic and industry communities for its widespread application in many real-world scenarios. While many recent studies have focused on computer vision-based solutions for the problem, the deployment of cameras brings up concerns about privacy invasion. This paper proposes a novel indoor pedestrian counting approach, based on footstep-induced structural vibration signals with piezoelectric sensors. The approach is privacy-protecting because no audio or video data is acquired. Our approach analyzes the space-differential features from the vibration signals caused by pedestrian footsteps and outputs the number of pedestrians. The proposed approach supports multiple pedestrians walking together with signal mixture. Moreover, it makes no requirement about the number of groups of walking people in the detection area. The experimental results show that the averaged F1-score of our approach is over 0.98, which is better than the vibration signal-based state-of-the-art methods.