52 search results - page 5 / 11 » Capturing the Uncertainty of Moving-Object Representations |
IJRR
2011
13 years 2 months ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
ICCV
2003
IEEE
14 years 25 days ago
2003
IEEE
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of...