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» Hybrid Models for Human Motion Recognition
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CVPR
2005
IEEE
14 years 7 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
CVPR
2006
IEEE
14 years 7 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
AMDO
2006
Springer
13 years 8 months ago
Composition of Complex Motion Models from Elementary Human Motions
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of hum...
Jörg Moldenhauer, Ingo Boesnach, Thorsten Ste...
ICPR
2002
IEEE
13 years 10 months ago
3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...
Tao Zhao, Ramakant Nevatia
JVCA
2010
94views more  JVCA 2010»
13 years 3 months ago
A hybrid approach for simulating human motion in constrained environments
We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obstacles. Our approach is general ...
Jia Pan, Liangjun Zhang, Ming C. Lin, Dinesh Manoc...