166 search results - page 2 / 34 » Multiple Component Learning for Object Detection |
PAMI
2011
12 years 11 months ago
2011
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Our objective is to obtain a state-of-the art object category
detector by employing a state-of-the-art image classifier
to search for the object in all possible image subwindows....
AMCS
2008
13 years 4 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a method that detects and segments multiple, partially occluded objects in images. A part hierarchy is defined for the object class. Whole-object segmentor and part de...