Presumably simple: monitoring crowds using WiFi

By Cristian Chilipirea, Andreea-Cristina Petre, Ciprian Dobre

In this paper, we investigate various techniques for cleaning up sets of raw detections to sets that can subsequently be used for crowd analytics. To this end, we introduce two different quality metrics to measure the effects of applying various data filters. We test our approach using a data set collected from 27 WiFi scanners spread across the downtown area of a Dutch city where at that time a 3-day multi-stage festival took place attended by some 130,000 people.

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