Online Active Feature Model for lip tracking

This paper introduces a novel method, Online Active Feature Model (OAFM), which can be thought of as a generalization of Active Shape / Appearance Models (AAMs), in which features (e.g. shape and image features) are modeled sequentially in video sequences. As we are interested in more refined aspect...

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Bibliographic Details
Main Authors: Quoc Dinh Nguyen, Milgram, Maurice
Format: Conference Proceeding
Language:English
Subjects:
Active appearance model
Active shape model
Equations
Intelligent robots
Lighting
Mouth
Principal component analysis
Robustness
Target tracking
Video sequences
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Summary:This paper introduces a novel method, Online Active Feature Model (OAFM), which can be thought of as a generalization of Active Shape / Appearance Models (AAMs), in which features (e.g. shape and image features) are modeled sequentially in video sequences. As we are interested in more refined aspects of the object such as contours, we propose a two-stage scheme in which a Light Active Appearance Model (LAAM) is used in first stage to track a target object globally, and an Online Local Feature Active Shape Model (OLF-ASM) is used at the second stage to refine object contours. Experimental results of lip tracking show that our proposed tracker is functioning accurately.
DOI:10.1109/ICCVW.2009.5457676