Multiple Sound Sources Localization in Real Time Using Acoustic Vector Sensor

  • Józef Kotus
Part of the Communications in Computer and Information Science book series (CCIS, volume 287)

Abstract

Method and preliminary results of multiple sound sources localization in real time using the acoustic vector sensor were presented in this study. Direction of arrival (DOA) for considered source was determined based on sound intensity method supported by Fourier analysis. Obtained spectrum components for considered signal allowed to determine the DOA value for the particular frequency independently. The accuracy of the developed and practically implemented algorithm was evaluated on the basis of laboratory tests. Both synthetic acoustic signals (pure tones and noises) and real sounds were used during the measurements. Real signals had the same or different spectral energy distribution both on time and frequency domain. The setup of the experiment and obtained results were described in details in the text. Taking obtained results into consideration is important to emphasize that the localization of the multiple sound sources using single acoustic vector sensor is possible. The localization accuracy was the best for signals which spectral energy distribution was different.

Keywords

sound detection sound source localization audio surveillance 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kotus, J.: Application of passive acoustic radar to automatic localization, tracking and classification of sound sources. Information Technologies 18, 111–116 (2010)Google Scholar
  2. 2.
    Czyżewski, A., Kotus, J.: Automatic localization and continuous tracking of mobile sound source using passive acoustic radar. Military University of Technology (2010)Google Scholar
  3. 3.
    Kotus, J., Kunka, B., Czyżewski, A., Szczuko, P., Dalka, P., Rybacki, R.: Gaze-tracking and acoustic vector sensors technologies for PTZ camera steering and acoustic event detection. In: 1st International Workshop: Interactive Multimodal Pattern Recognition in Embedded Systems (IMPRESS 2010), Bilbao, Spain, September 1, pp. 276–280 (2010)Google Scholar
  4. 4.
    Kotus, J., Łopatka, K., Kopaczewski, K., Czyżewski, A.: Automatic Audio-Visual Threat Detection. In: MCSS 2010: IEEE International Conference on Multimedia Communications, Services and Security, Krakow, Poland, May 6-7, pp. 140–144 (2010)Google Scholar
  5. 5.
    Łopatka, K., Kotus, J., Czyżewski, A.: Monitoring of audience of public events employing acoustic vector sensors. In: ISSET 2011, May 19-21 (2011)Google Scholar
  6. 6.
    Kotus, J., Łopatka, K., Cżyzewski, A.: Detection and Localization of Selected Acoustic Events in 3D Acoustic Field for Smart Surveillance Applications. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 55–63. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  7. 7.
    Hawkes, M., Nehorai, A.: Acoustic vector-sensor beamforming and Capon direction estimation. IEEE Trans. Signal Processing 46, 2291–2304 (1998)CrossRefGoogle Scholar
  8. 8.
    Hawkes, M., Nehorai, A.: Wideband source localization using a distributed acoustic vector sensor array. IEEE Trans. Signal Processing 51, 1479–1491 (2003)MathSciNetCrossRefGoogle Scholar
  9. 9.
    de Bree, H.-E., Wind, J., Sadasivan, S.: Broad banded acoustic vector sensors for outdoor monitoring propeller driven aircraft. In: DAGA 2010, Conference Proceedings, Berlin, Germany, March 15-18 (2010)Google Scholar
  10. 10.
    de Bree, H.-E., Wind, J., de Theije, P.: Detection, localization and tracking of aircraft using acoustic vector sensors. In: Inter Noise 2011 Proceedings, Osaka, Japan, September 4-7 (2011)Google Scholar
  11. 11.
    Smith, S.W.: The Scientist and Engineer’s Guide to Digital Signal Processing. California Technical Publishing (1997)Google Scholar
  12. 12.
    Basten, T., de Bree, H.-E., Tijs, E.: Localization and tracking of aircraft with ground based 3D sound probes. In: ERF33, Kazan, Russia (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Józef Kotus
    • 1
  1. 1.Multimedia Systems Dept.Gdansk University of TechnologyGdanskPoland

Personalised recommendations