Researchon3DHumanMotionTrackingBasedonProbabilisti

Title: Researchon3DHumanMotionTrackingBasedonProbabilisti

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2008-10-13
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yanggx

Description: In this paper, the model has guided three-dimensional human motion tracking framework, will be more than one of the frustum of a cone shape of the joints of three-dimensional human body model with a number of video images of the outer contour, border, greyscale and color matching features, so that human motion tracking into a state estimation problem. In addition, the use of probabilistic model based particle filtering algorithm to complete the non-linear, non-Gaussian dynamic system state estimation.

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