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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Adaptive Estimation of Human Posture Using a Component-Based Model
verfasst von : Kyoung-Mi Lee
Erschienen in: Pattern Recognition and Image Analysis
Verlag: Springer Berlin Heidelberg
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To detect a human body and recognize its posture, a component-based approach is less susceptible to changes in posture and lighting conditions. This paper proposes a component-based human-body model that comprises ten components and their flexible links. Each component contains geometrical information, appearance information, and information on the links with other components. The proposed method in this paper uses hierarchical links between components of human body, so that it allows to make coarse-to-fine searches and makes human-body matching more time-efficient. To adaptively estimate the posture in change of posture and illumination, we update the component online every time a new human body is incoming.