83 search results - page 9 / 17 » A Probabilistic Exclusion Principle for Tracking Multiple Ob... |
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
DAGM
2004
Springer
14 years 24 days ago
2004
Springer
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
ECAI
2004
Springer
14 years 24 days ago
2004
Springer
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
CRV
2009
IEEE
14 years 2 months ago
2009
IEEE
Understanding the human gait is an important objective towards improving elderly mobility. In turn, gait analyses largely depend on kinematic and dynamic measurements. While the m...
MVA
2007
13 years 7 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...