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Definition
Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image.
Background
Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.
Despite many years of research, however, pose estimation remains a very difficult and still largely unsolved problem. Among the most significant challenges are the...
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Sigal, L. (2014). Human Pose Estimation. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_584
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DOI: https://doi.org/10.1007/978-0-387-31439-6_584
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