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» Gaussian Process Dynamical Models for Human Motion
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ICIP
2009
IEEE
15 years 10 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
ICIRA
2009
Springer
200views Robotics» more  ICIRA 2009»
15 years 4 months ago
Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...
Mehdi Khoury, Honghai Liu
ICASSP
2011
IEEE
14 years 1 months ago
Motion vector recovery with Gaussian Process Regression
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee,...
AMDO
2006
Springer
15 years 1 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...
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 2 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...