65 search results - page 2 / 13 » Sparse Patch-Histograms for Object Classification in Clutter... |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
ICASSP
2011
IEEE
13 years 4 days ago
2011
IEEE
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
ICMLA
2009
13 years 6 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
BMVC
2002
13 years 10 months ago
2002
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the target object or to clutter, based on the configurat...