2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2021
DOI: 10.1109/ipin51156.2021.9662572
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Simultaneous Crowd Estimation in Counting and Localization Using WiFi CSI

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Cited by 6 publications
(3 citation statements)
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“…In our previous work [20], we were inspired by the idea that the same thing a camera can do can be also performed by wireless sensing, and to the best of our knowledge, it was the first attempt of simultaneous crowd estimation by using WiFi CSI. Through this work, we further reveal the potential of WiFi CSI toward a comprehensive crowd estimation system.…”
Section: Introductionmentioning
confidence: 99%
“…In our previous work [20], we were inspired by the idea that the same thing a camera can do can be also performed by wireless sensing, and to the best of our knowledge, it was the first attempt of simultaneous crowd estimation by using WiFi CSI. Through this work, we further reveal the potential of WiFi CSI toward a comprehensive crowd estimation system.…”
Section: Introductionmentioning
confidence: 99%
“…CSI-based wireless sensing technology has been developed for over a decade, and numerous CSI-based crowd counting algorithms have emerged [2][3][4][9][10][11][12][13][14][15][16]. In 2014, Xi et al [9] proposed the Electronic Frog Eye system, the first to use CSI information for crowd counting.…”
mentioning
confidence: 99%
“…The algorithm used a LSTM-RNN model as a classifier with 94% recognition accuracy. Choi et al [16] proposed a simultaneous recognition system for headcount and localization using CSI and machine learning, achieving a counting error of 0.35 MAE (89.8% of 1-person internal error) and localization accuracy of 91.4%.…”
mentioning
confidence: 99%