68 search results - page 5 / 14 » Mixtures of robust probabilistic principal component analyze... |
ICIP
2006
IEEE
14 years 8 months ago
2006
IEEE
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
ECCV
2002
Springer
14 years 8 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
We propose a space-time Markov Random Field (MRF)
model to detect abnormal activities in video. The nodes in
the MRF graph correspond to a grid of local regions in the
video fra...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
ECCV
2006
Springer
13 years 10 months ago
2006
Springer
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...