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» Visual servoing based on Gaussian mixture models
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CRV
2008
IEEE
310views Robotics» more  CRV 2008»
14 years 11 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 1 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
86
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DAGM
2010
Springer
14 years 10 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 3 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
13 years 9 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