Robust visual voice activity detection using chaos theory under illumination varying environment

Taeyup Song, Kyungsun Lee, Hanseok Ko

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

3 Citations (Scopus)

Abstract

We propose a visual based voice activity detection robust in illumination changes which frequently occurs in indoor vehicle environment. By applying chaos theory, contextual change becomes chaos-like and results in complex fractal trajectories in phase space. We measure fractality in phase space from image frames and thereby robustly detect visual speech motions under illumination changes. Representative experiments demonstrate significant improvements over conventional method.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages562-563
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Publication series

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

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Song, T., Lee, K., & Ko, H. (2014). Robust visual voice activity detection using chaos theory under illumination varying environment. In 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 (pp. 562-563). [6776134] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6776134