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 publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages562-563
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Other

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

Fingerprint

Chaos theory
Lighting
Fractals
Trajectories
Experiments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

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

Robust visual voice activity detection using chaos theory under illumination varying environment. / Song, Taeyup; Lee, Kyungsun; Ko, Hanseok.

Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. p. 562-563 6776134.

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

Song, T, Lee, K & Ko, H 2014, Robust visual voice activity detection using chaos theory under illumination varying environment. in Digest of Technical Papers - IEEE International Conference on Consumer Electronics., 6776134, Institute of Electrical and Electronics Engineers Inc., pp. 562-563, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, NV, United States, 14/1/10. https://doi.org/10.1109/ICCE.2014.6776134
Song T, Lee K, Ko H. Robust visual voice activity detection using chaos theory under illumination varying environment. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc. 2014. p. 562-563. 6776134 https://doi.org/10.1109/ICCE.2014.6776134
Song, Taeyup ; Lee, Kyungsun ; Ko, Hanseok. / Robust visual voice activity detection using chaos theory under illumination varying environment. Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 562-563
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