Motion Models for People Tracking
نویسنده
چکیده
This chapter provides an introduction to models of human pose and motion for use in 3D human pose tracking. We concentrate on probabilistic latent variable models of kinematics, most of which are learned from motion capture data, and on recent physics-based models. We briefly discuss important open problems and future research challenges.
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تاریخ انتشار 2011