6 search results - page 1 / 2 » A Probabilistic Framework for the Detection and Tracking in ... |
ISBI
2004
IEEE
14 years 5 months ago
2004
IEEE
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
ECCV
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
IJCV
2000
13 years 4 months ago
2000
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
CVPR
2004
IEEE
14 years 6 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...