47 search results - page 1 / 10 » Contextual Models for Object Detection Using Boosted Random ... |
NIPS
2004
13 years 5 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...
ICASSP
2007
IEEE
13 years 10 months ago
2007
IEEE
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...