Publication detail

Acoustical detection of gunshots

HRABINA, M. SIGMUND, M.

Original Title

Acoustical detection of gunshots

English Title

Acoustical detection of gunshots

Type

conference paper

Language

en

Original Abstract

This paper describes development of reliable gunshot detection system with emphasis on low power consumption for use in counter-poacher devices primarily protecting elephants in Africa. Intended system will work as a binary detector of gunfire without further classification of used fire-arm. Dominance of right gunshot detection over false alarms is crucial. Proposed recognition system is based on linear predictive coefficients, correlation against template and comparison of spectral energy in sub-bands.

English abstract

This paper describes development of reliable gunshot detection system with emphasis on low power consumption for use in counter-poacher devices primarily protecting elephants in Africa. Intended system will work as a binary detector of gunfire without further classification of used fire-arm. Dominance of right gunshot detection over false alarms is crucial. Proposed recognition system is based on linear predictive coefficients, correlation against template and comparison of spectral energy in sub-bands.

Keywords

gunshot recognition, linear predictive coding, signal processing

RIV year

2015

Released

21.04.2015

ISBN

978-1-4799-8117-5

Book

Radioelektronika (RADIOELEKTRONIKA), 2015 25th International Conference

Edition

Radioelektronika

Edition number

1

Pages from

150

Pages to

153

Pages count

4

URL

BibTex


@inproceedings{BUT118055,
  author="Martin {Hrabina} and Milan {Sigmund}",
  title="Acoustical detection of gunshots",
  annote="This paper describes development of reliable gunshot detection system with emphasis on low power consumption for use in counter-poacher devices primarily protecting elephants in Africa. Intended system will work as a binary detector of gunfire without further classification of used fire-arm. Dominance of right gunshot detection over false alarms is crucial. Proposed recognition system is based on linear predictive coefficients, correlation against template and comparison of spectral energy in sub-bands.",
  booktitle="Radioelektronika (RADIOELEKTRONIKA), 2015 25th International Conference",
  chapter="118055",
  doi="10.1109/RADIOELEK.2015.7128993",
  edition="Radioelektronika",
  howpublished="online",
  year="2015",
  month="april",
  pages="150--153",
  type="conference paper"
}