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IVC
2006
193views more  IVC 2006»
13 years 7 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal
CAV
2003
Springer
140views Hardware» more  CAV 2003»
14 years 29 days ago
Certifying Optimality of State Estimation Programs
Abstract. The theme of this paper is certifying software for state estimation of dynamic systems, which is an important problem found in spacecraft, aircraft, geophysical, and in m...
Grigore Rosu, Ram Prasad Venkatesan, Jon Whittle, ...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 5 hour ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
MBEC
2010
157views Communications» more  MBEC 2010»
13 years 2 months ago
Ambulatory human motion tracking by fusion of inertial and magnetic sensing with adaptive actuation
Over the last years, inertial sensing has proven to be a suitable ambulatory alternative to traditional human motion tracking based on optical position measurement systems, which a...
H. Martin Schepers, Daniel Roetenberg, Peter H. Ve...
ICIP
2008
IEEE
14 years 9 months ago
EKF pose estimation: How many filters and cameras to use?
The Extended Kalman Filter (EKF) is suitable for real-time pose estimation due its low computational demand and ability to handle the nonlinear perspective camera model. There are...
Mohammad Ehab Ragab, Kin-hong Wong, Jun Zhou Chen,...