645 search results - page 76 / 129 » Modeling object classes in aerial images using hidden Markov... |
113
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CVPR
2004
IEEE
16 years 1 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...
113
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VISSYM
2004
15 years 1 months ago
2004
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
117
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ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
ICIP
2005
IEEE
16 years 1 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 ...
100
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ECCV
2004
Springer
15 years 5 months ago
2004
Springer
This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...