243 search results - page 6 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
AAAI
2010
13 years 9 months ago
2010
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
PRL
2007
13 years 7 months ago
2007
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract--Recently, classifier grids have shown to be a considerable alternative for object detection from static cameras. However, one drawback of such approaches is drifting if a...