307 search results - page 1 / 62 » Discriminative Feature Co-Occurrence Selection for Object De... |
PAMI
2008
13 years 4 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
WACV
2005
IEEE
13 years 10 months ago
2005
IEEE
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
IVC
2006
13 years 4 months ago
2006
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...