Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; 05,13
004 Data processing and Computer science
The extended Kalman filter (EKF) has been used as the standard
technique for performing recursive nonlinear estimation in vision tracking.
In this report, we present an alternative filter with performance superior to
that of the EKF. This algorithm, referred to as the Particle filter. Particle
filtering was originally developed to track objects in clutter (multi-modal
distribution). We present as results the filter behavior when exist objects
with similar characteristic to the object to track.
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