Preprint Article Version 1 This version is not peer-reviewed

A Novel Device-Free Counting Method Based on Channel Status Information

Version 1 : Received: 1 August 2018 / Approved: 1 August 2018 / Online: 1 August 2018 (10:10:13 CEST)

A peer-reviewed article of this Preprint also exists.

Li, J.; Tu, P.; Wang, H.; Wang, K.; Yu, L. A Novel Device-Free Counting Method Based on Channel Status Information. Sensors 2018, 18, 3981. Li, J.; Tu, P.; Wang, H.; Wang, K.; Yu, L. A Novel Device-Free Counting Method Based on Channel Status Information. Sensors 2018, 18, 3981.

Journal reference: Sensors 2018, 18, 3981
DOI: 10.3390/s18113981

Abstract

Crowd counting is of significant importance for numerous applications, e.g., urban security, intelligent surveillance and crowd management. Existing crowd counting methods typically require specialized hardware deployment and strict operating conditions, thereby hindering their widespread deployment. To acquire a more effective crowd counting approach, a device-free counting method based on Channel Status Information (CSI) is proposed, which could mitigate environment noise through wavelet transform and extract the amplitude or phase covariance matrix as the feature vector. Moreover, both the spatial diversity and frequency diversity are leveraged to improve detection robustness. The accuracy of the proposed CSI-based method is compared with a renowned crowd counting one, i.e., Electronic Frog Eye: Counting Crowd Using WiFi (FCC). The experimental results reveal an accuracy improvement of 30% over FCC.

Subject Areas

wavelet transform; covariance matrix; spatial diversity;frequency diversity; robustness

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