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A Real-Time Detection and Localization System of Unexpected Events Using Crowd-Sourcing

Published: 28 November 2016 Publication History

Abstract

Through crowd sourcing, we have been developing a realtime detection and localization system of unexpected events such as traffic accidents. For such a study, we previously proposed a crowd-sourced system called Smart and Quick Unexpected-Event Detect (SQUED) system that used smartphone sensor data for the detection and localization of unexpected events. When SQUED system users encounter an event, they point their smartphones toward the direction of the event. SQUED system can detect the location and time of the event using smartphone sensor data. In this study, we further developed our SQUED system to realize real-time detection and localization function. In addition, we developed the pseudo-user generator to evaluate our systems. Our pseudo-user generator can simulate the environment in which the number of users has increased. As a result, it was confirmed that our real-time system in combination with the pseudo-user generator could perform event detection 100 times faster than our previous system.

References

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Alan F. Smeaton and Mike McHugh. Towards event detection in an audio-based sensor network. In ACM, VSSN '05, pp. 87--94, 2005.
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Robin Wentao Ouyang, et al. If you see something, swipe towards it: Crowdsourced event localization using smartphones. In ACM, UbiComp '13, pp. 23--32, 2013.
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T. Yamamoto, K. Oku, Hung-Hsuan Huang, and K. Kawagoe. Squed: A novel crowd-sourced system for detection and localization of unexpected events from smartphone-sensor data. In IEEE/ACIS ICIS 2015, pp. 383--386, June 2015.
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Du Tran, Junsong Yuan, and D. Forsyth. Video event detection: From subvolume localization to spatiotemporal path search. Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 36, No. 2, pp. 404--416, 2014.
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Tong Qin, Huadong Ma, Dong Zhao, Tianyuan Li, and Jianwei Chen. Crowdsourcing based event reporting system using smartphones with accurate localization and photo tamper detection. In Big Data Computing and Communications, Vol. 9196 of Lecture Notes in Computer Science, pp. 141--151. 2015.

Cited By

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  • (2020)TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic MapIEEE Access10.1109/ACCESS.2020.29802988(60598-60612)Online publication date: 2020
  • (2018)SpeedyChainProceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3286978.3287019(145-154)Online publication date: 5-Nov-2018
  • (2018)A Hierarchical Framework for Timely Freeway Accident Detection and Localization2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622060(1618-1623)Online publication date: Dec-2018
  • Show More Cited By

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Published In

cover image ACM Other conferences
MOBIQUITOUS 2016: Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services
November 2016
280 pages
ISBN:9781450347594
DOI:10.1145/3004010
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2016

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Author Tags

  1. crowd-sourced system
  2. event detection
  3. global positioning system
  4. sensor data.
  5. smart phones

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  • Research-article
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  • Refereed limited

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MOBIQUITOUS 2016
MOBIQUITOUS 2016: Computing Networking and Services
November 28 - December 1, 2016
Hiroshima, Japan

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Overall Acceptance Rate 26 of 87 submissions, 30%

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Cited By

View all
  • (2020)TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic MapIEEE Access10.1109/ACCESS.2020.29802988(60598-60612)Online publication date: 2020
  • (2018)SpeedyChainProceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3286978.3287019(145-154)Online publication date: 5-Nov-2018
  • (2018)A Hierarchical Framework for Timely Freeway Accident Detection and Localization2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622060(1618-1623)Online publication date: Dec-2018
  • (2017)Empirical Evaluation and Analysis of Real-Time Detection and Localization of Unexpected EventsProceedings of the 9th International Conference on Computer and Automation Engineering10.1145/3057039.3057071(202-206)Online publication date: 18-Feb-2017

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