4 search results - page 1 / 1 » Handling Camera Movement Constraints in Reinforcement Learni... |
DAGM
2006
Springer
13 years 8 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
PR
2007
13 years 4 months ago
2007
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
ARCS
2005
Springer
13 years 10 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
IROS
2007
IEEE
13 years 10 months ago
2007
IEEE
— This paper puts forward an approach for a mobile robot to recognize the human’s manipulative actions from different single camera views. While most of the related work in act...