Application of Vector Sensors to Acoustic Surveillance of a Public Interior Space

Open access

Abstract

A method for precise sound sources detection and localization in interiors is presented. Acoustic vector sensors, which provide multichannel output signals of acoustic pressure and particle velocity were employed. Methods for detecting acoustic events are introduced. The algorithm for localizing sound events in the audience is presented. The system set up in a lecture hall, which serves as a demonstrator of the proposed technology, is described. The accurracy of the proposed method is evaluated by the described measurement results. The analysis of the results is followed by conclusions pertaining the usability of the proposed system. The concept of the multimodal audio-visual detection of events in the audience is also introduced.

Abouchacra K., Łętowski T., Gothie J. (2007), Detection and Recognition of Natural Sounds, Archives of Acoustics, 32, 3, 603-616.

Alpkocak A., Sis M.K. (2010), Computing impulse response of room acoustics using the ray-tracing method in time domain, Archives of Acoustics, 35, 4, 505-519.

Czyżewski A., Kotus J. (2010), Automatic localization and continuous tracking of mobile sound source using passive acoustic radar, Military University of Technology, 441-453.

Drgas S., Kociński J., Sęk A.P. (2008), Logatom Articulation Index Evaluation of Speech Enhanced by Blind Source Separation and Single-Channel Noise Reduction, Archives of Acoustics, 33, 4, 455-474.

Grigoras C. (2009), Applications of ENF Analysis in Forensic Authentication of Digital and Video Recordings, Journal of Audio Engineering Society, 57, 9, 643-661.

Julián P., Andreou A.G., Riddle L., Shamma S., Goldberg D.H., Cauwenberghs G. (2004), A comparative study of sound localization algorithms for energy aware sensor network nodes, IEEE Transactions on Circuits and Systems, 51, 4, 640-648.

Kotus J., Łopatka K., Czyżewski A. (2011), Detection and localization of selected acoustic events in 3D acoustic field for smart surveillance applications, 4th International conference on Multimedia Communications, Services and Security, Kraków.

Kotus J., Łopatka K., Kopaczewski K., Czyżewski A. (2010), Automatic audio-visual threat detection, IEEE International Conference on Multimedia, Communications, Services and Security, 140-144, Kraków.

Latos M., Pawełczyk M. (2010), Adaptive algorithms for enhancement of speech subject to a high-level noise, Archives of Acoustics, 35, 2, 203-212.

Li D., Wong K.D., Hu Y., Sayeed A. (2002), Detection, classification and tracking of targets, IEEE Signal Processing Magazine, 2, 17-29.

Meissner M. (2009), Computer Modelling of Coupled Spaces: Variations of Eigenmodes Frequency Due to a Change in Coupling Area, Archives of Acoustics, 34, 2, 157-168.

Valenzise G., Gerosa L., Tagliasacchi M., Antonacci F., Sarti A. (2004), Scream and gunshot detection and localization for audio-surveillance systems, IEEE Conference on Advanced Video and Signal Based Surveillance, 21-26.

Wind J., De Bree H., Xu B. (2010), 3D sound source localization and sound mapping using a PU sensor array, 16th AIAA/CEAS Aeroacoustics Conference, Stockholm.

Zhuang X., Zhou X., Hasegawa-Johnson M., Huang T. (2010), Real-world acoustic event detection, Pattern Recognition Letters, 31, 1543-1551.

Archives of Acoustics

The Journal of Institute of Fundamental Technological of Polish Academy of Sciences

Journal Information


IMPACT FACTOR 2016: 0.816
5-year IMPACT FACTOR: 0.835

CiteScore 2016: 1.15

SCImago Journal Rank (SJR) 2016: 0.432
Source Normalized Impact per Paper (SNIP) 2016: 0.948

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 140 140 15
PDF Downloads 81 81 11