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» Gaussian Process Dynamical Models for Human Motion
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SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 6 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock
ICPR
2002
IEEE
16 years 27 days ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Tracking of Human Body Joints using Anthropometry
Most of the methods for human motion tracking are based on the modeling of human dynamics in action execution. In even small example space of human activities, the variation in ac...
Alexei Gritai, Mubarak Shah
NIPS
2008
15 years 1 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
ICIP
2010
IEEE
14 years 9 months ago
Implicit Motion-Shape Model: A generic approach for action matching
We develop a robust technique to find similar matches of human actions in video. Given a query video, Motion History Images (MHI) are constructed for consecutive keyframes. This i...
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang