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Towards event detection in an audio-based sensor network

Published: 11 November 2005 Publication History

Abstract

In this paper, we describe an experiment where we gathered audio information from a series of conventional wired microphones installed in a typical university setting. We also obtained visual information from cameras located in the same area. We set out to see if audio analysis could be used to assist our existing visual event detection system, and to note any improvements. We were not concerned with identifying or classifying what was detected in the audio. Our aim was to keep audio processing to a minimum, as this would enable wireless sensor networks to be used in the future. We present the results of analysis of audio information based on the mean of the volume, the zero-crossing rate, and the frequency. We found that detecting events based on their volume returned satisfactory results.

References

[1]
The ubiquitous home project, available at http://www2.nict.go.jp/jt/a135/eng/research/ubiqu itous_home.html.
[2]
G. Anastasi, A. Falchi, A. Passarella, M. Conti, and E. Gregori. Performance measurements of motes sensor networks. In MSWiM '04: Proceedings of the 7th ACM international symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pages 174--181, New York, NY, USA, October 4-6 2004. ACM Press.
[3]
M. Beigl, A. Krohn, T. Zimmer, and C. Decker. Typical sensors needed in ubiquitous and pervasive computing. In First International Workshop on Networked Sensing Systems (INSS) 2004, Tokyo, Japan, pages 153--158, June 22-23 2004.
[4]
R. Cai, L. Lu, H.-J. Zhang, and L.-H. Cai. Highlight sounds effects detection in audio stream. In Proceedings of the IEEE Int. Conf. on Multimedia and Expo (ICME 2003), Baltimore, 6-9 July 2003.
[5]
J. Chen and K. Phua. An adaptive microphone array with local acoustic sensitivity. In Proceedings of the IEEE Int. Conf. on Multimedia and Expo (ICME 2005), Amsterdam, 6-8 July 2005.
[6]
C. Clavel, T. Ehrette, and G. Richard. Events detection for an audio-based surveillance system. In Proceedings of the IEEE Int. Conf. on Multimedia and Expo (ICME 2005), Amsterdam, 6-8 July 2005.
[7]
D. P. Ellis and K. Lee. Minimal-impact audio-based personal archives. In CARPE'04: Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences, pages 39--47, New York, NY, USA, 2004. ACM Press.
[8]
R. S. Goldhor. Recognition of environmental sounds. In Proceedings of IEEE Int. Conf. on Acoustics, Speech and Signal Processing, volume 1, pages 149--152.
[9]
M. Härmä, M. F. McKinney, and J. Skowronek. Automatic surveillance of the acoustic activity in our living environment. In Proceedings of the IEEE Int. Conf. on Multimedia and Expo (ICME 2005), Amsterdam, 6-8 July 2005.
[10]
M. F. McKinney and J. Breebaart. Features for audio and music classification. In Proceedings of the 4th International Conference on Music Information Retrieval, ISMIR 2003, 26-30 October 2003.
[11]
M. Vacher, D. Istrate, L. Besacier, E. Castelli, and J.-F. Serignat. Smart audio sensor for telemedecine. In Smart Object Conference, Grenoble, France, pages 222--225, 15-17 May 2003.
[12]
H. E. White and D. H. White. Physics and Music. Saunders College, Philadelphia, 1980.

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cover image ACM Conferences
VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks
November 2005
168 pages
ISBN:1595932429
DOI:10.1145/1099396
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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Publication History

Published: 11 November 2005

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Author Tags

  1. audio surveillance
  2. security monitoring
  3. sensor networks

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MM&Sec '05
MM&Sec '05: Multimedia and Security Workshop 2005
November 11, 2005
Hilton, Singapore

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  • (2023)An Ultra-Low Energy Solution for Large-Scale Distributed Audio MonitoringIEEE Access10.1109/ACCESS.2023.323422811(2156-2163)Online publication date: 2023
  • (2021)DOHMO: Embedded Computer Vision in Co-Housing Scenarios2021 Forum on specification & Design Languages (FDL)10.1109/FDL53530.2021.9568372(01-08)Online publication date: 8-Sep-2021
  • (2020)The Internet of Audio Things: State of the Art, Vision, and ChallengesIEEE Internet of Things Journal10.1109/JIOT.2020.29970477:10(10233-10249)Online publication date: Oct-2020
  • (2016)A Real-Time Detection and Localization System of Unexpected Events Using Crowd-SourcingAdjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services10.1145/3004010.3004050(130-135)Online publication date: 28-Nov-2016
  • (2016)Audio SurveillanceACM Computing Surveys10.1145/287118348:4(1-46)Online publication date: 22-Feb-2016
  • (2015)SQUED: A novel crowd-sourced system for detection and localization of unexpected events from smartphone-sensor data2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)10.1109/ICIS.2015.7166624(383-386)Online publication date: Jun-2015
  • (2015)Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networksSignal Processing10.1016/j.sigpro.2014.07.014107:C(4-20)Online publication date: 1-Feb-2015
  • (2012)State of the art of smart homesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2012.05.00225:7(1313-1321)Online publication date: 1-Oct-2012
  • (2011)Model-based hardware/software synthesis for wireless sensor network applications2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)10.1109/SIECPC.2011.5876891(1-6)Online publication date: Apr-2011
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