Acoustic signal based abnormal event detection system with multiclass adaboost

Younghyun Lee, Hanseok Ko, David K. Han

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

3 Citations (Scopus)

Abstract

This paper addresses the problem of abnormal acoustic event detection in indoor security systems. We propose a multiclass Adaboost based acoustic context classifier for performance and speed improvements over the conventional and prominent GMM based classifiers.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Pages322-323
Number of pages2
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, NV, United States
Duration: 2013 Jan 112013 Jan 14

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2013 IEEE International Conference on Consumer Electronics, ICCE 2013
CountryUnited States
CityLas Vegas, NV
Period13/1/1113/1/14

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Lee, Y., Ko, H., & Han, D. K. (2013). Acoustic signal based abnormal event detection system with multiclass adaboost. In 2013 IEEE International Conference on Consumer Electronics, ICCE 2013 (pp. 322-323). [6486911] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2013.6486911