Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.

This paper describes a technique to estimate human face pose from colour video sequence using Dynamic Bayesian Network(DBN). As face and facial features trackers usually track eyes, pupils, mouth corners and skin region(face), our proposed method utilizes merely three of these features – pupils, mo...

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Main Authors:	A. Suandi, Shahrel, Enokida, Shuichi, Ejima, Toshiaki
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:	http://eprints.usm.my/15180/1/paper.pdf http://eprints.usm.my/15180/
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Institution:	Universiti Sains Malaysia
Language:	English

id	my.usm.eprints.15180
record_format	eprints
spelling	my.usm.eprints.15180 http://eprints.usm.my/15180/ Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network. A. Suandi, Shahrel Enokida, Shuichi Ejima, Toshiaki TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper describes a technique to estimate human face pose from colour video sequence using Dynamic Bayesian Network(DBN). As face and facial features trackers usually track eyes, pupils, mouth corners and skin region(face), our proposed method utilizes merely three of these features – pupils, mouth centre and skin region – to compute the evidence for DBN inference. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/15180/1/paper.pdf A. Suandi, Shahrel and Enokida, Shuichi and Ejima, Toshiaki (2008) Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network. In: International Workshop On Application of Computer Vision, Copper Mountain, 7-9 January 2008.
institution	Universiti Sains Malaysia
building	Hamzah Sendut Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sains Malaysia
content_source	USM Institutional Repository
url_provider	http://eprints.usm.my/
language	English
topic	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering. Electronics. Nuclear engineering A. Suandi, Shahrel Enokida, Shuichi Ejima, Toshiaki Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
description	This paper describes a technique to estimate human face pose from colour video sequence using Dynamic Bayesian Network(DBN). As face and facial features trackers usually track eyes, pupils, mouth corners and skin region(face), our proposed method utilizes merely three of these features – pupils, mouth centre and skin region – to compute the evidence for DBN inference.
format	Conference or Workshop Item
author	A. Suandi, Shahrel Enokida, Shuichi Ejima, Toshiaki
author_facet	A. Suandi, Shahrel Enokida, Shuichi Ejima, Toshiaki
author_sort	A. Suandi, Shahrel
title	Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
title_short	Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
title_full	Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
title_fullStr	Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
title_full_unstemmed	Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.
title_sort	face pose estimation from video sequence using dynamic bayesian network.
publishDate	2008
url	http://eprints.usm.my/15180/1/paper.pdf http://eprints.usm.my/15180/
_version_	1643702877369139200

Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.

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