Conference proceeding
Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp 87-92
Aug 2013
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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).
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Details
- Title
- Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance
- Creators
- Suwon Shon - Korea UniversityDavid K. Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp 87-92
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000345737900015
- Scopus ID
- 2-s2.0-84890874123
- Other Identifier
- 991021931084904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications