19 search results - page 1 / 4 » An adaptive-covariance-rank algorithm for the unscented Kalm... |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a recursive spatial-domain speckle reduction algorithm for synthetic aperture radar (SAR) imagery based on the unscented Kalman filter (UKF) with a discontinuity-adapt...
ICIP
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
IJSR
2010
13 years 1 months ago
2010
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...