Facial expression recognition using HMM with observation dependent transition matrix

Tsapatsoulis, N; Leonidou, M; Kollias, S

dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Leonidou, M	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:37Z
dc.date.available	2014-03-01T02:48:37Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33955
dc.subject	Facial Expression Recognition	en
dc.subject	Feature Extraction	en
dc.subject	Feature Vector	en
dc.subject	Time Scale	en
dc.subject	Transition Matrix	en
dc.subject	Hidden Markov Model	en
dc.subject	Optical Flow	en
dc.title	Facial expression recognition using HMM with observation dependent transition matrix	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MMSP.1998.738918	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MMSP.1998.738918	en
heal.publicationDate	1998	en
heal.abstract	An expression recognition technique is proposed based on the hidden Markov models (HMM) ability to deal with time sequential data and to provide time scale invariability as well as a learning capability. A feature vector sequence is used for this purpose, which relies on optical flow extraction, as well as directional filtering of the motion field. Segmentation and identification of	en
heal.journalName	Multimedia Signal Processing	en
dc.identifier.doi	10.1109/MMSP.1998.738918	en