664 search results - page 14 / 133 » A Probabilistic Background Model for Tracking |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...