39 search results - page 3 / 8 » Accuracy versus speed in context-based object detection |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
NIPS
2004
13 years 9 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We present an alignment framework for object detection using a hierarchy of 3D polygonal models. One difficulty with alignment methods is that the high-dimensional transf...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...