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» Parameter Estimation Using Kalman Filters with Constraints
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IJCV
2008
105views more  IJCV 2008»
13 years 7 months ago
Detecting and Handling Unreliable Points for Camera Parameter Estimation
The popularly used DLT method sometimes fails to give reliable camera parameter estimation. It is therefore important to detect the unreliability and provide the corresponding solu...
Yihong Wu, Youfu Li, Zhanyi Hu
ICCV
2001
IEEE
14 years 9 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
PAMI
2007
214views more  PAMI 2007»
13 years 6 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICPR
2008
IEEE
14 years 1 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
GSN
2009
Springer
140views Sensor Networks» more  GSN 2009»
14 years 9 hour ago
Estimation of Pollutant-Emitting Point-Sources Using Resource-Constrained Sensor Networks
We present an algorithm that makes an appropriate use of a Kalman filter combined with a geometric computation with respect to the localisation of a pollutant-emitting point sourc...
Michael Zoumboulakis, George Roussos