TY - GEN
T1 - Robust visual voice activity detection using chaos theory under illumination varying environment
AU - Song, Taeyup
AU - Lee, Kyungsun
AU - Ko, Hanseok
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84898687483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898687483&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2014.6776134
DO - 10.1109/ICCE.2014.6776134
M3 - Conference contribution
AN - SCOPUS:84898687483
SN - 9781479912919
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 562
EP - 563
BT - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Y2 - 10 January 2014 through 13 January 2014
ER -