Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

18

ICIP
2001
IEEE

favoriteEmaildiscussreport

180views Image Processing» more ICIP 2001»

Multiresolution Gaussian mixture models for visual motion estimation

14 years 5 months ago

Multiresolution Gaussian mixture models for visual motion estimation

Download www.cs.bris.ac.uk

This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar concept of multiple resolutions, but applied to a Gaussian mixture representation of the image - hence the title MGMM. It is shown that MGMM can approximate any probability density and can adapt to smooth motions. After a brief presentation of the theory, it is shown how MGMM can be applied to the estimation of visual motion.

Roland Wilson, Andrew Calway

Real-time Traffic

Gaussian Mixture Representation | ICIP 2001 | Image Processing | Probability Density | Spatial Representation |

claim paper

Related Content

» Robust Estimation in Gaussian Mixtures Using Multiresolution Kdtrees

» Automatic Object TrajectoryBased Motion Recognition Using Gaussian Mixture Models

» Visual servoing based on Gaussian mixture models

» Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models

» IlluminationInvariant Motion Detection Using Colour Mixture Models

» Dynamic Color Flow A MotionAdaptive Color Model for Object Segmentation in Video

» A Three Tiered Approach for Articulated Object Action Modeling and Recognition

» Image Restoration Using SpaceVariant Gaussian Scale Mixtures in Overcomplete Pyramids

» Light and Fast Statistical Motion Detection Method Based on Ergodic Model

Post Info
More Details (n/a)

Added	25 Oct 2009
Updated	27 Oct 2009
Type	Conference
Year	2001
Where	ICIP
Authors	Roland Wilson, Andrew Calway

Comments (0)