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
    Country/TerritoryUnited States
    CityLas Vegas, NV
    Period13/1/1113/1/14

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

    Fingerprint

    Dive into the research topics of 'Acoustic signal based abnormal event detection system with multiclass adaboost'. Together they form a unique fingerprint.

    Cite this