Hand Gesture Modeling Using Dynamic Bayesian Networks and Deformable Templates

作者: Artur Wilkowski , Wlodzimierz Kasprzak

DOI: 10.1109/SITIS.2011.55

关键词:

摘要: The paper presents a stochastic approach to articulated hand (palm shape) tracking in images. gesture model is given terms of Dynamic Bayesian network that incorporates Hidden Markov Model order utilize prior information on structure the task. Deformable Templates methodology applied for shape modeling. Experimental evaluation cluttered environment using particle filtering provided. A comparison this method with typical approach, makes no use temporal information, also given.

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