242 search results - page 2 / 49 » Learning human actions via information maximization |
TCSV
2008
13 years 4 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
AAAI
2006
13 years 5 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
ICVS
1999
Springer
13 years 8 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...