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CVPR
1999
IEEE
14 years 9 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
ICRA
2006
IEEE
121views Robotics» more  ICRA 2006»
14 years 1 months ago
Multi-model Tracking using Team Actuation Models
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...
Yang Gu, Manuela M. Veloso
ICML
2005
IEEE
14 years 8 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer
JMIV
2006
100views more  JMIV 2006»
13 years 7 months ago
Mixed-State Auto-Models and Motion Texture Modeling
In image motion analysis as well as for several application fields like daily pluviometry data modeling, observations contain two components of different nature. A first part is ma...
Patrick Bouthemy, C. Hardouin, Gwenaëlle Piri...
PAMI
2006
233views more  PAMI 2006»
13 years 7 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...