63 search results - page 8 / 13 » An Unsupervised, Online Learning Framework for Moving Object... |
PAMI
2011
13 years 2 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...
ACML
2009
Springer
14 years 2 months ago
2009
Springer
With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transac...
ECCV
2008
Springer
13 years 9 months ago
2008
Springer
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
While great strides have been made in detecting and localizing specific objects in natural images, the bottom-up segmentation of unknown, generic objects remains a difficult chall...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...