@inproceedings{bdae7f40e34442d58530a350cf118509,
title = "A combined approach to feature extraction for mouth characterization and tracking",
abstract = "A statistical active appearance model (AAM) is developed to model and track the lips. A major challenge in modelling the mouth area, considered the most deformable facial feature, is the weak contrast between lips and skin colour. In order to perform accurately, AAM requires a strong initialization point. In our approach, key information is firstly extracted using chrominance analysis. Then optimal parameters of the model are determined using AAM fitting procedure. A detailed description of our model and its corresponding fitting algorithm are given and preliminary results on different databases are summarised.",
keywords = "Chromatic analysis, Mouth detection, Mouth tracking, Statistical model of appearance",
author = "I. Bacivarov and Ionita, \{M. C.\} and P. Corcoran",
year = "2008",
doi = "10.1049/cp:20080655",
language = "English",
isbn = "9780863419317",
series = "IET Conference Publications",
number = "539 CP",
pages = "156--161",
booktitle = "IET Irish Signals and Systems Conference, ISSC 2008",
edition = "539 CP",
note = "IET Irish Signals and Systems Conference, ISSC 2008 ; Conference date: 18-06-2008 Through 19-06-2008",
}