Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model
暂无分享,去创建一个
[1] Michael K. Pitt,et al. Auxiliary Variable Based Particle Filters , 2001, Sequential Monte Carlo Methods in Practice.
[2] George W. Irwin,et al. Multiple model bootstrap filter for maneuvering target tracking , 2000, IEEE Trans. Aerosp. Electron. Syst..
[3] E. Todorov. Optimality principles in sensorimotor control , 2004, Nature Neuroscience.
[4] Christoph Bregler,et al. Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Jake K. Aggarwal,et al. A hierarchical Bayesian network for event recognition of human actions and interactions , 2004, Multimedia Systems.
[6] Jessica K. Hodgins,et al. Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces , 2004, ACM Trans. Graph..
[7] N. de Freitas. Rao-Blackwellised particle filtering for fault diagnosis , 2002, Proceedings, IEEE Aerospace Conference.
[8] R.M. Murray,et al. Segmentation of human motion into dynamics based primitives with application to drawing tasks , 2003, Proceedings of the 2003 American Control Conference, 2003..
[9] Emanuel Todorov,et al. Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems , 2004, ICINCO.
[10] Daniel M. Wolpert,et al. Signal-dependent noise determines motor planning , 1998, Nature.
[11] S. Scott. Optimal feedback control and the neural basis of volitional motor control , 2004, Nature Reviews Neuroscience.
[12] N. D. Freitas. Rao-Blackwellised particle filtering for fault diagnosis , 2002 .
[13] Ruggero Frezza,et al. Control of a Manipulator with a Minimum Number of Motion Primitives , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[14] Rémi Ronfard,et al. Automatic Discovery of Action Taxonomies from Multiple Views , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[15] Eric Horvitz,et al. Layered representations for learning and inferring office activity from multiple sensory channels , 2004, Comput. Vis. Image Underst..
[16] Maja J. Mataric,et al. Automated Derivation of Primitives for Movement Classification , 2000, Auton. Robots.
[17] Y. Bar-Shalom,et al. The interacting multiple model algorithm for systems with Markovian switching coefficients , 1988 .