2903 search results - page 175 / 581 » The Dark Side of Object Learning: Learning Objects |
NIPS
2004
13 years 10 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
DAGM
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...