Robust two-stage lip tracker

Author

Shin, Jongju ; Jun, Bongjin ; Kim, Daijin

Author_Institution

Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea

fYear

2009

fDate

14-17 Dec. 2009

Firstpage

265

Lastpage

270

Abstract

We propose a novel two-stage lip tracking method. A model-based inverse compositional (MIC) feature tracker is first used to track the outer lip, and a fast block matching algorithm is then used to track the inner lip. The proposed two-stage lip tracker outperforms single stage lip trackers such as AAM lip tracker and MIC lip tracker in terms of lower RMS fitting error and faster lip fitting speed.

Keywords

feature extraction; image matching; mean square error methods; AAM lip tracker; MIC lip tracker; RMS fitting error; fast block matching algorithm; lip fitting speed; model-based inverse compositional feature tracker; single stage lip trackers; two-stage lip tracker; two-stage lip tracking method; Active appearance model; Face detection; Inverse problems; Lips; Microwave integrated circuits; Mouth; Partitioning algorithms; Robustness; Shape; Tracking; AAM lip tracker; Block matching; Lip tracking; Model-based inverse compositional lip tracker;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on

Conference_Location

Ajman

Print_ISBN

978-1-4244-5949-0

Type

conf

DOI

10.1109/ISSPIT.2009.5407494

Filename

5407494

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3401340