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A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated o
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Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
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A paper on A Kalman Filter Based Visual Tracking Algorithm for an Object Moving in 3D
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A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking-A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking
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The extended Kalman filter (EKF) has been widely
used as a nonlinear filtering method for radar tracking
problems. However, it has been found that in
case cross-range measurement errors of the target position
are large, the performance of the
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A new approach to improved filter design is presented for
the radar tracking problem. An idealized version of the
extended Kalman filter, which is unrealizable in practice,
is constructed using a universal linearization concept, and
then it i
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Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks
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