6113 search results - page 219 / 1223 » Learning Features for Tracking |
235
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IBPRIA
2007
Springer
15 years 8 months ago
2007
Springer
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
179
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
184
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AAAI
2011
14 years 6 months ago
2011
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
190
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
164
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...