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» A computational framework for incremental motion
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IJCV
2000
161views more  IJCV 2000»
14 years 11 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
TOG
2002
108views more  TOG 2002»
14 years 11 months ago
Motion graphs
In this paper we present a novel method for creating realistic, controllable motion. Given a corpus of motion capture data, we automatically construct a directed graph called a mo...
Lucas Kovar, Michael Gleicher, Frederic H. Pighin
ICIP
2005
IEEE
16 years 1 months ago
Hybrid recursive energy-based method for robust optical flow on large motion fields
We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimati...
Jangheon Kim, Thomas Sikora
CVPR
2008
IEEE
16 years 1 months ago
3D-2D spatiotemporal registration for sports motion analysis
Computer systems are increasingly being used for sports training. Existing sports training systems either require expensive 3D motion capture systems or do not provide intelligent...
Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong
HRI
2007
ACM
15 years 3 months ago
Incremental learning of gestures by imitation in a humanoid robot
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
Sylvain Calinon, Aude Billard