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ICRA
2008
IEEE
146views Robotics» more  ICRA 2008»
14 years 1 months ago
Visual servoing based on Gaussian mixture models
— In this paper we present a novel approach to robust visual servoing. This method removes the feature tracking step from a typical visual servoing algorithm. We do not need corr...
A. H. Abdul Hafez, Supreeth Achar, C. V. Jawahar
BMVC
2001
13 years 9 months ago
Illumination-Invariant Motion Detection Using Colour Mixture Models
This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background est...
Ming Xu, Tim Ellis
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 7 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
ICIP
2005
IEEE
14 years 9 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
NIPS
2003
13 years 8 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...