Reinitialization of a Model-Based Face Tracker
نویسنده
چکیده
This paper investigates how to reinitialize a modelbased face tracker after tracking failure. The information gathered in the original initialization is used to obtain a quick an reliable reinitialization. The color information of the model texture map is used to obtain a skin color model that is per definition adapted to the lighting, camera and the specific skin tone of the user. The search for the largest skin colored blob is then further refined by template matching using a part of the face texture between the eyes. From this refined position the tracker is restarted. A method for automatic detection of tracking failure is also presented.
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