@inproceedings{8c062daee57e4f19a5bd94ae3710f34d,
title = "Robust 3D face tracking on unknown users with dynamical active models",
abstract = "The Active Appearance Models [1] and the derived Active Models (AM) [4] allow to robustly track the face of a single user that was previously learnt, but works poorly with multiple or unknown users. Our research aims at improving the tracking robustness by learning from video databases. In this paper, we study the relation between the face texture and the parameter gradient matrix, and propose a statistical approach to dynamically fit the AM to unknown users by estimating the gradient and update matrices from the face texture. We have implemented this algorithm for real time face tracking and experimentally demonstrate its robustness when tracking multiple or unknown users' faces.",
keywords = "Active Appearance Models, Face Animation, Face Tracking, Virtual Reality",
author = "Dianle Zhou and Patrick Horain",
year = "2009",
month = feb,
day = "4",
doi = "10.1007/978-3-540-92892-8\_9",
language = "English",
isbn = "354092891X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "74--84",
booktitle = "Advances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings",
note = "15th International Multimedia Modeling Conference, MMM 2009 ; Conference date: 07-01-2009 Through 09-01-2009",
}