Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance

Suwon Shon, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a method for source localization for surveillance system is presented. In particular, we propose an algorithm for abnormal acoustic event localization based on a novel approach of relevant frequency bin selections by statistical analyses. By means of selective frequency bin, it becomes possible to localize the event more accurately in high noise environment with low computational complexity. The effectiveness is verified through the experimental results in varied noise environments with different levels of Signal to Noise Ratio (SNR).

Original languageEnglish
Title of host publication2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
PublisherIEEE Computer Society
Pages87-92
Number of pages6
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013 - Krakow, Poland
Duration: 2013 Aug 272013 Aug 30

Other

Other2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
CountryPoland
CityKrakow
Period13/8/2713/8/30

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Shon, S., Han, D. K., & Ko, H. (2013). Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance. In 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013 (pp. 87-92). [6636621] IEEE Computer Society. https://doi.org/10.1109/AVSS.2013.6636621