Human Body Pose Estimation Using Silhouette Shape Analysis
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
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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.