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» Visual servoing based on Gaussian mixture models
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CRV
2008
IEEE
310views Robotics» more  CRV 2008»
15 years 3 months ago
An Efficient Region-Based Background Subtraction Technique
This paper proposes an efficient region-based background subtraction technique using static camera for motion detection in various monitoring applications. Color histograms, textu...
Parisa Darvish Zadeh Varcheie, Michael Sills-Lavoi...
IJON
2011
186views more  IJON 2011»
14 years 4 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
DAGM
2010
Springer
15 years 2 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
15 years 7 months ago
A Shape Tracking Algorithm for Visual Servoing
— The paper contributes to presenting both an accurate and robust shape tracking algorithm and a novel visual servoing method. Two steps are involved in the tracking algorithm. F...
Peihua Li, François Chaumette, Omar Tahri
AAAI
2011
14 years 1 months ago
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh