Communications - Scientific Letters of the University of Zilina 2022, 24(4):F72-F81 | DOI: 10.26552/com.C.2022.4.F72-F81

Safety in Cities and Transport through Sound Monitoring

Dalibor Smažinka, Martin Hrinko ORCID...*
College CEVRO Institute, Prague, Czech Republic

This paper deals with the use of modern technology for security purposes, focusing on the situation in cities (urban noise and shooting) and in transport (passenger rail). The authors aimed to highlight the possibilities and capabilities of installation of technology in the field of applied physical acoustics (sensors, evaluation system with the possibility of setting sensitive sensing filters, end output) and the possibilities of monitoring, including the response of security forces or security measures to the detected danger. In the paper, the authors also include graphical representations of the energy-normalized spectra of the different sound backgrounds and classification classes of acoustic events and types of acoustic events to clarify the differences of the selected monitored events.

Keywords: urban safety, traffic safety, sound events, sound classification, video surveillance, audio surveillance, safety system response
Grants and funding:

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: February 15, 2022; Revised: September 10, 2022; Accepted: August 16, 2022; Prepublished online: September 14, 2022; Published: October 26, 2022  Show citation

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Smažinka, D., & Hrinko, M. (2022). Safety in Cities and Transport through Sound Monitoring. Communications - Scientific Letters of the University of Zilina, 24(4), F72-81. doi: 10.26552/com.C.2022.4.F72-F81
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    References

    1. BORING, E. G. Sensation and perception in the history of experimental psychology. New York: Appleton-Century-Crofts, 1942.
    2. BLAUERT, J. Spatial hearing: the psychophysics of human sound localization. Cambridge: MIT press, 1997. ISBN 0-262-02413-6. Go to original source...
    3. GRAVES, J. R. Audio gunshot detection and localization systems: history, basic design and future possibilities. ProQuest Dissertations and Theses. Denver: University of Colorado at Denver, 2012.
    4. CROCCO, M., CRISTANI, M., TRUCCO, A., MURINO, V. Audio surveillance: a systematic review. ACM Computing Surveys [online]. 2016, 48(4), 52. ISSN 0360-0300, eISSN 1557-7341. Available from: https://doi.org/10.1145/2871183 Go to original source...
    5. AXIS camera application platform (ACAP) - Axis Communications [online]. White paper. 2021. Available from: https://www.axis.com/files/tech_notes/wp_ACAP_en_2103.pdf.
    6. Audio analytics for professionals - Sound Intelligence Design Guide [online]. 2021. Available from: https://www.soundintel.com/
    7. LOPATKA, K., KORTUS, J., CZYZEWSK, A. Detection, classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations. Multimedia Tools and Applications [online]. 2016, 75, p. 10407-10439. ISSN 1380-7501, eISSN 1573-7721. Available from: https://doi.org/10.1007/s11042-015-3105-4 Go to original source...
    8. ROUAS, J. L., LOURADOR, J., AMBELLOUIS, S. Audio events detection in public transport vehicle. In: IEEE Conference on Intelligent Transportation Systems ITSC: proceedings [online]. IEEE. 2006. p. 733-738. Available from: https://doi.org/10.1109/ITSC.2006.1706829 Go to original source...
    9. CRISTANI, M., BICEGO, M., MURINO, V. Audio-visual event recognition in surveillance video sequences. IEEE Transactions on Multimedia [online]. 2007, 9(2), p. 257-267. ISSN 1520-9210, eISSN 1941-0077. Available from: https://doi.org/10.1109/TMM.2006.886263 Go to original source...
    10. ARSLAN, Y., CANBOLAT, H. Performance of deep neural networks in audio surveillance. In: 6th International Conference on Control Engineering and Information Technology CEIT: proceedings, 2018. p. 1-5. Go to original source...
    11. CHAVDAR, M., GERAZOV, B., IVANOVSKI, Z., KARTALOV, T. Towards a system for automatic traffic sound event detection. In: 28th Telecommunications Forum TELFOR: proceedings [online]. IEEE. 2020. Available from: https://doi.org/10.13140/RG.2.2.19496.29448 Go to original source...
    12. VU, V.-T., BREMOND, F., DAVINI, G., THONNAT, M., PHAM, Q.-C., ALLEZARD, N., SAYD, P., ROUAS, J.-L., AMBELLOUIS, S., FLANCQUART, A. Audio-video event recognition system for public transport security. In: International Conference on Crime Detection and Prevention ICDP'2006: proceedings. 2006. p. 414-419. Go to original source...
    13. Help protect your town - Blind Spots / Pomozte chranit vasi obec - Slepa Mista (in Czech) [online]. 2021. Available from: https://www.slepamista.cz/

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