In this paper, a pose estimation methodology is described which aims at analysing digital images depicting human figures, in order to properly identifying the body structure. The developed methodology does not require the employment of any a-priori model, but it is based on a preprocessing stage that, besides performing a noise removal procedure, realises a skeletonisation process of the human figure represented into the analysed images. A set of numerical features is extracted from the obtained skeletons and a geometrical analysis is accomplished to complete the pose estimation process. The methodology has been successfully applied in an experimental session involving both synthetic and real-world images.
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|Titolo:||Static pose estimation by image skeletonisation|
|Data di pubblicazione:||2005|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|