29 search results - page 2 / 6 » Unsupervised Learning of Multiple Aspects of Moving Objects ... |
ICRA
2005
IEEE
13 years 11 months ago
2005
IEEE
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
ICVGIP
2004
13 years 7 months ago
2004
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...