256 search results - page 20 / 52 » Adaptive object tracking by learning background context |
AVSS
2006
IEEE
15 years 1 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
XPU
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The automated collection of source code metrics can help agile teams to understand the software they are producing, allowing them to adapt their daily practices towards a...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
DAGM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
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AROBOTS
2002
14 years 9 months ago
2002
In robotics, the idea of human and robot interaction is receiving a lot of attention lately. In this paper, we describe a multi-modal system for generating a map of the environment...