Tongue tracking in ultrasound images with active appearance models

Roussos, A; Katsamanis, A; Maragos, P

dc.contributor.author	Roussos, A	en
dc.contributor.author	Katsamanis, A	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:46:33Z
dc.date.available	2014-03-01T02:46:33Z
dc.date.issued	2009	en
dc.identifier.issn	15224880	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32714
dc.subject	Active Appearance Model	en
dc.subject	Automatic Detection	en
dc.subject	bayesian framework	en
dc.subject	Perforation	en
dc.subject	Prior Information	en
dc.subject	Shape Priors	en
dc.subject	Speckle Noise	en
dc.subject	Speech Production	en
dc.subject	Ultrasound	en
dc.subject	Ultrasound Imaging	en
dc.subject	Variational Models	en
dc.subject	X Rays	en
dc.subject	Optical Flow	en
dc.subject.other	Active appearance models	en
dc.subject.other	Appearance modeling	en
dc.subject.other	Experimental evaluation	en
dc.subject.other	Human speech	en
dc.subject.other	Novel methods	en
dc.subject.other	Shape priors	en
dc.subject.other	Tracking techniques	en
dc.subject.other	Ultrasound images	en
dc.subject.other	Ultrasound imaging	en
dc.subject.other	Computer vision	en
dc.subject.other	Imaging systems	en
dc.subject.other	Ultrasonic applications	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Tracking (position)	en
dc.title	Tongue tracking in ultrasound images with active appearance models	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2009.5414520	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2009.5414520	en
heal.identifier.secondary	5414520	en
heal.publicationDate	2009	en
heal.abstract	Tongue Ultrasound imaging is widely used for human speech production analysis and modeling. In this paper, we propose a novel method to automatically detect and track the tongue contour in Ultrasound (US) videos. Our method is built on a variant of Active Appearance Modeling. It incorporates shape prior information and can estimate the entire tongue contour robustly and accurately in a sequence of US frames. Experimental evaluation demonstrates the effectiveness of our approach and its improved performance compared to previously proposed tongue tracking techniques. ©2009 IEEE.	en
heal.journalName	Proceedings - International Conference on Image Processing, ICIP	en
dc.identifier.doi	10.1109/ICIP.2009.5414520	en
dc.identifier.spage	1733	en
dc.identifier.epage	1736	en