Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network.

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Conference or Workshop Item
Depositing User:	Mr Erwan Roslan
Date Deposited:	06 Dec 2009 03:51
Last Modified:	20 Nov 2017 07:22
URI:	http://eprints.usm.my/id/eprint/15180

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