364 search results - page 21 / 73 » On-line Boosting and Vision |
135
Voted
ACCV
2007
Springer
15 years 4 months ago
2007
Springer
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
109
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
79
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
94
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...