Title :
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
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;
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
DOI :
10.1109/ISSPIT.2009.5407494
