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.

Preview

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
284Kb

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
ID Code:	15180
Deposited By:	Mr Erwan Roslan
Deposited On:	06 Dec 2009 11:51
Last Modified:	06 Dec 2009 11:51

Repository Staff Only: item control page