Time-Frequency Analysis of Variable-Length WiFi CSI Signals for Person Re-Identification

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Chen Mao;Chong Tan;Jingqi Hu;Min Zheng
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引用次数: 0

Abstract

Person re-identification (ReID), as a crucial technology in the field of security, plays an important role in security detection and people counting. Current security and monitoring systems largely rely on visual information, which may infringe on personal privacy and be susceptible to interference from pedestrian appearances and clothing in certain scenarios. Meanwhile, the widespread use of routers offers new possibilities for ReID. This letter introduces a method using WiFi Channel State Information (CSI), leveraging the multipath propagation characteristics of WiFi signals as a basis for distinguishing different pedestrian features. We propose a two-stream network structure capable of processing variable-length data, which analyzes the amplitude in the time domain and the phase in the frequency domain of WiFi signals, fuses time-frequency information through continuous lateral connections, and employs advanced objective functions for representation and metric learning. Tested on a dataset collected in the real world, our method achieves 93.68% mAP and 98.13% Rank-1.
用于人员再识别的可变长度 WiFi CSI 信号的时频分析
人员再识别(ReID)作为安防领域的一项重要技术,在安全检测和人员计数方面发挥着重要作用。目前的安防和监控系统主要依靠视觉信息,这可能会侵犯个人隐私,在某些情况下还容易受到行人外貌和服装的干扰。同时,路由器的广泛使用为 ReID 提供了新的可能性。这封信介绍了一种使用 WiFi 信道状态信息(CSI)的方法,利用 WiFi 信号的多径传播特性作为区分不同行人特征的基础。我们提出了一种能处理变长数据的双流网络结构,它能分析 WiFi 信号的时域振幅和频域相位,通过连续的横向连接融合时频信息,并采用先进的目标函数进行表示和度量学习。在真实世界收集的数据集上进行测试,我们的方法实现了 93.68% 的 mAP 和 98.13% 的 Rank-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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