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Detection and localization of selected acoustic events in 3D acoustic field for smart surveillance applications

Abstract

A method for automatic determination of position of chosen sound events such as speech signals and impulse sounds in 3-dimensional space is presented. The events are localized in the presence of sound reflections employing acoustic vector sensors. Human voice and impulsive sounds are detected using adaptive detectors based on modified peak-valley difference (PVD) parameter and sound pressure level. Localization based on signals from the multichannel acoustic vector probe is performed upon the detection. The described algorithms can be useful in a surveillance systems to monitor the behavior of participants of public events. The results can be used to detect the position of sound source in real time or to calculate the spatial distribution of sounds in the environment. Moreover, spatial filtration can be performed to separate the sounds coming from the chosen direction.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
Communications in Computer and Information Science no. 149, pages 55 - 63,
ISSN: 1865-0929
Title of issue:
4th International Conference on Multimedia Communications, Services and Security (MCSS 2011) strony 55 - 63
Language:
English
Publication year:
2011
Bibliographic description:
Kotus J., Łopatka K., Czyżewski A..: Detection and localization of selected acoustic events in 3D acoustic field for smart surveillance applications, W: 4th International Conference on Multimedia Communications, Services and Security (MCSS 2011), 2011, Springer,.
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-642-21512-4_7
Verified by:
Gdańsk University of Technology

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