69 search results - page 13 / 14 » Switching Observation Models for Contour Tracking in Clutter |
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
CVPR
2004
IEEE
14 years 7 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...
CVPR
2009
IEEE
15 years 26 days ago
2009
IEEE
In this paper we consider the problem of object parsing,
namely detecting an object and its components by composing
them from image observations. Apart from object localization,
...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...