Detection of Gunshots from Small Arms

Thumbnail Image
Files
9_EEICT_selected.pdf(813.91 KB)
Date
2023
Authors
Nesvadba, Ondřej
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Altmetrics
Abstract
This paper deals with acoustic gunshot detectionfrom small arms primarily for use in urban areas. Key part of thepaper is an examination of typical features of gunshot signals.Based on the short-term features detection algorithms areproposed in the time and frequency domains. Training andevaluation of the algorithms was performed using real gunshots,non-gunshots as well as synthetic gunshots. The non-gunshots setcontains impulsive acoustic events such as dog barking, glassbreaking, car horn, etc.
Description
Keywords
detection, detection algorithms, frequency domain,gunshot, gunshot parameters, small arms, time domain
Citation
Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 9-12. ISBN 978-80-214-6154-3
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
DOI
10.13164/eeict.2023.9
URI
http://hdl.handle.net/11012/210649
Collections
Student EEICT 2023: Selected Papers
Citace PRO