88 search results - page 16 / 18 » Probabilistic Observation Models for Tracking Based on Optic... |
SSIAI
2000
IEEE
14 years 4 hour ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
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...
SSIAI
2002
IEEE
14 years 16 days ago
2002
IEEE
This paper introduces an active contour or snakebased method for tracking cells within a video sequence. Specifically, we apply our cell tracking techniques to rolling leukocytes ...
AVI
2010
13 years 9 months ago
2010
Visualisations of dynamic networks are animated over time, reflecting changes in the underlying data structure. As viewers of these visualisations, it is up to us to accurately pe...
AIPS
2007
13 years 10 months ago
2007
Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized ...