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Robust Sound Localization Algorithm for Intelligent Acoustic Surveillance System

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Information Science and Applications 2018 (ICISA 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 514))

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Abstract

A new sound localization algorithm for intelligent surveillance system is proposed in this paper. This study mainly focuses on the building of the reliable tetrahedron-shaped microphone array that allows noise robust sound localization. The proposed system is derived from the traditional triangular microphone array and developed using a plane coordinate transformation method. A real-time sound localization experiments with a proposed method, the previously known triangular microphone array and existing tetrahedral microphone array system are conducted and compared. The experimental results show that the proposed system outperforms all the comparing systems in terms of the detection rate of the sound source. The proposed system also confirms the robustness of the noise effect in low SNR environment.

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Acknowledgements

This work was supported by the Technology Development Program S2417278 funded by the Ministry of SMEs and Startups (MSS, Korea).

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Authors and Affiliations

  1. Department of Software, Dankook University, Suji-gu, Yongin-si, Gyenggi-do, South Korea

    Kyusik Park

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  1. Kyusik Park
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Correspondence to Kyusik Park .

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Editors and Affiliations

  1. iCatse, Seongnam, Gyeonggi, Korea (Republic of)

    Kuinam J. Kim

  2. School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea (Republic of)

    Nakhoon Baek

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Park, K. (2019). Robust Sound Localization Algorithm for Intelligent Acoustic Surveillance System. In: Kim, K., Baek, N. (eds) Information Science and Applications 2018. ICISA 2018. Lecture Notes in Electrical Engineering, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-13-1056-0_15

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  • DOI: https://doi.org/10.1007/978-981-13-1056-0_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1055-3

  • Online ISBN: 978-981-13-1056-0

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