1162 search results - page 151 / 233 » Model Based Tracking on 3D Objects |
ISBI
2007
IEEE
14 years 2 months ago
2007
IEEE
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
IJCAI
1997
13 years 9 months ago
1997
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
DAGM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
CVPR
2004
IEEE
14 years 10 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...