63 search results - page 2 / 13 » An Unsupervised, Online Learning Framework for Moving Object... |
ICRA
2008
IEEE
14 years 20 days ago
2008
IEEE
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
ICIP
2007
IEEE
14 years 8 months ago
2007
IEEE
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
166
click to vote
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...