Original title: Detection of Gunshots from Small Arms
Authors: Nesvadba, Ondřej
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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.
Keywords: detection; detection algorithms; frequency domain,gunshot; gunshot parameters; small arms; time domain
Host item entry: Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers, ISBN 978-80-214-6154-3, ISSN 2788-1334

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/210649

Permalink: http://www.nusl.cz/ntk/nusl-531755


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers