1162 search results - page 151 / 233 » Model Based Tracking on 3D Objects |
117
Voted
ISBI
2007
IEEE
15 years 8 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...
119
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IJCAI
1997
15 years 3 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...
122
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ICIP
2005
IEEE
16 years 4 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 ...
102
Voted
DAGM
2009
Springer
15 years 9 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...
150
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CVPR
2004
IEEE
16 years 4 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...