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We have developed a high-precision method that selects an appropriate model of a video image in order to track an unknown face in front of a large display. Currently, Active Appearance Models (AAMs) are used to track non-rigid objects, such as a faces, because the models efficiently learn the correlation between shape and texture. The problem with an AAM is that when it tracks an unknown face, excessive...
This paper proposes a method for estimating the movement of a user using an acceleration sensor called UME (user movement estimator). By considering time-axis changes in the power spectrum, the method is able to avoid performance loss due to factors such as sudden vibration or times when the power spectrum resembles different types of movement. Testing results show that the method has significantly...
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