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Estimating pose of articulated objects using low-level motion.

, , and . Computer Vision and Image Understanding, 116 (3): 330-346 (2012)

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A bag of words approach to subject specific 3D human pose interaction classification with random decision forests., , and . Graphical Models, 76 (3): 162-171 (2014)Tracking 3D human pose with large root node uncertainty., and . CVPR, page 1321-1328. IEEE Computer Society, (2011)Real-time pose estimation of articulated objects using low-level motion., , and . CVPR, IEEE Computer Society, (2008)Monocular 3D human pose estimation using sparse motion features., , and . ICCV Workshops, page 1050-1057. IEEE Computer Society, (2009)Estimating 3D Pose via Stochastic Search and Expectation Maximization., and . AMDO, volume 6169 of Lecture Notes in Computer Science, page 67-77. Springer, (2010)State of the Art Report on Video-based Graphics and Video Visualizations, , , , , , , , , and . Computer Graphics Forum, (2012)Entropy Driven Hierarchical Search for 3D Human Pose Estimation., and . BMVC, page 1-11. BMVA Press, (2011)Estimating pose of articulated objects using low-level motion., , and . Computer Vision and Image Understanding, 116 (3): 330-346 (2012)Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior., and . ICPR, page 3440-3443. IEEE Computer Society, (2010)Using Low-Level Motion to Estimate Gait Phase., , and . VISAPP (2), page 496-501. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)978-989-8111-21-0.