Abstract
The aim of human pose estimation is to detect and estimate the configuration of the articulation structure of a person. Human pose estimation has become a popular research topic including a wide range of approaches. Marker-based approaches, for example, are one of the most precise methods, but they need special markers attached to the human body. In this work we concentrate on monocular vision-based approaches, which are not using additional means like markers. We are also not using other common methods like foreground-background segmentation or temporal tracking in order to guarantee that our approach is independent of the quality of such methods.
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© 2015 Springer International Publishing Switzerland
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Spehr, J. (2015). Human Pose Estimation. In: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities. Studies in Systems, Decision and Control, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-11325-8_6
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DOI: https://doi.org/10.1007/978-3-319-11325-8_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11324-1
Online ISBN: 978-3-319-11325-8
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