Head pose estimation with one camera, in uncalibrated environments

Asteriadis, S; Karpouzis, K; Kollias, S

dc.contributor.author	Asteriadis, S	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:52:41Z
dc.date.available	2014-03-01T02:52:41Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35996
dc.subject	Facial feature tracking	en
dc.subject	Head pose	en
dc.subject	User attention estimation	en
dc.subject.other	Distance vector	en
dc.subject.other	Environmental parameter	en
dc.subject.other	Eye-gaze	en
dc.subject.other	Face Tracking	en
dc.subject.other	Facial feature	en
dc.subject.other	Facial feature tracking	en
dc.subject.other	Focus of Attention	en
dc.subject.other	Head pose	en
dc.subject.other	Head Pose Estimation	en
dc.subject.other	Image sequence	en
dc.subject.other	Non-intrusive	en
dc.subject.other	One camera	en
dc.subject.other	Priori knowledge	en
dc.subject.other	Rotation angles	en
dc.subject.other	Specialized hardware	en
dc.subject.other	Uncalibrated environment	en
dc.subject.other	User attention estimation	en
dc.subject.other	Cameras	en
dc.subject.other	Estimation	en
dc.subject.other	Image segmentation	en
dc.subject.other	Motion estimation	en
dc.title	Head pose estimation with one camera, in uncalibrated environments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/2002333.2002343	en
heal.identifier.secondary	http://dx.doi.org/10.1145/2002333.2002343	en
heal.publicationDate	2010	en
heal.abstract	Head pose together with eye gaze are a reliable indication regarding the estimate of the focus of attention of a person standing in front of a camera, with applications ranging from driver's attention estimation to meeting environments. As gaze indication, eye gaze in non-intrusive or non highly specialized environments is, most times, difficult to detect and, when possible, combination with head pose is necessary. Also, in order to successfully track the rotation angles of the head, a priori knowledge regarding the equipment setup parameters is needed, or specialized hardware, that can be intrusive is required. Here, we propose a novel facial feature tracker that uses Distance Vector Fields (DVFs) and, combined with a new technique for face tracking, successfully detects facial feature positions during an image sequence and estimates head pose parameters. No a priori knowledge regarding camera or environmental parameters is needed for our technique. © 2010 ACM.	en
heal.journalName	International Conference on Intelligent User Interfaces, Proceedings IUI	en
dc.identifier.doi	10.1145/2002333.2002343	en
dc.identifier.spage	55	en
dc.identifier.epage	62	en