extended-abstract

Monitoring crowd condition in public spaces by tracking mobile consumer devices with wifi interface

Authors:

Benjamin Bischke,

Paul LukowiczAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 1363 - 1371

https://doi.org/10.1145/2968219.2968414

Published: 12 September 2016 Publication History

Abstract

We present a systematic study and optimization of crowd monitoring methods based on tracking consumer devices with activated WiFi/Bluetooth interfaces using stationary scanners with directional antennas. To this end we have recorded a large scale, real life data set from a car manufacturers exhibition at the Frankfurt Motor Show IAA that includes data from 31 directional scanners covering a total area of 6000m² running for 13 business days and providing nearly 90 million data points from a total of over 300000 unique mobile devices. For seven of the 13 days video ground truth has been recorded and extensively annotated. Questions that we addressed include the mapping from the number of detected devices to the number of people, the ability to generalize the calibration from a small number of ground truth points recorded on one day to other days and the ability to localize individuals in different conditions. Our methods show less than 20% error for the crowd density and less than 8 m localization error for individuals.

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Cited By

Hao LHuang BJia BMao G(2024)On the Fine-Grained Crowd Analysis via Passive WiFi SensingIEEE Transactions on Mobile Computing10.1109/TMC.2023.332433423:6(6697-6711)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3324334
Bogahawatta NKarunanayaka YSeneviratne SThilakarathna KMasood RKanhere SSeneviratne A(2024)Passive Identification of WiFi Devices At-Scale: A Data-Driven Approach2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639764(1-9)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639764
Guo RHuang BHao LJia B(2024)Crowd Counting in Large Surveillance Areas by Fusing Audio and WiFi Sniffing Data2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10651535(1-8)Online publication date: 30-Jun-2024
https://doi.org/10.1109/IJCNN60899.2024.10651535
Show More Cited By

Index Terms

Monitoring crowd condition in public spaces by tracking mobile consumer devices with wifi interface
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 12 September 2016

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UbiComp '16

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Hao LHuang BJia BMao G(2024)On the Fine-Grained Crowd Analysis via Passive WiFi SensingIEEE Transactions on Mobile Computing10.1109/TMC.2023.332433423:6(6697-6711)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3324334
Bogahawatta NKarunanayaka YSeneviratne SThilakarathna KMasood RKanhere SSeneviratne A(2024)Passive Identification of WiFi Devices At-Scale: A Data-Driven Approach2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639764(1-9)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639764
Guo RHuang BHao LJia B(2024)Crowd Counting in Large Surveillance Areas by Fusing Audio and WiFi Sniffing Data2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10651535(1-8)Online publication date: 30-Jun-2024
https://doi.org/10.1109/IJCNN60899.2024.10651535
Zhang YZhao TElmalaki S(2024)Towards Fairness-aware Crowd Management System and Surge Prevention in Smart Cities2024 IEEE Workshop on Design Automation for CPS and IoT (DESTION)10.1109/DESTION62938.2024.00015(46-54)Online publication date: 13-May-2024
https://doi.org/10.1109/DESTION62938.2024.00015
Mishra AViana AAchir N(2024)Bleach: From WiFi probe-request signatures to MAC associationAd Hoc Networks10.1016/j.adhoc.2024.103623164(103623)Online publication date: Nov-2024
https://doi.org/10.1016/j.adhoc.2024.103623
Mishra AViana AAchir N(2023)Introducing benchmarks for evaluating user-privacy vulnerability in WiFi2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10199706(1-7)Online publication date: Jun-2023
https://doi.org/10.1109/VTC2023-Spring57618.2023.10199706
Hao LHuang BJia BXu GMao G(2023)Toward Accurate Crowd Counting in Large Surveillance Areas Based on Passive WiFi SensingIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330370024:12(14086-14096)Online publication date: Dec-2023
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Ahmed Nawaz NSaleh Alghamdi NKaramti HAyoub Khan M(2022)An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive CrowdComputer Modeling in Engineering & Sciences10.32604/cmes.2022.020791133:2(327-350)Online publication date: 2022
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He TTan JChan S(2022)Self-Supervised Association of Wi-Fi Probe Requests Under MAC Address RandomizationIEEE Transactions on Mobile Computing10.1109/TMC.2022.3205924(1-14)Online publication date: 2022
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Solmaz GBaranwal PCirillo F(2022)CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom53586.2022.9762354(187-196)Online publication date: 21-Mar-2022
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