Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47457
Title: A fuzzy-controlled Kalman filter applied to stereo-visual tracking schemes
Authors: Aja-Fernández, Santiago
Alberola-López, Carlos
Ruiz-Alzola, Juan 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Kalman filter
Fuzzy tracking
Fuzzy controller
Stereo vision
Tracking
Issue Date: 2003
Publisher: 0165-1684
Journal: Signal Processing 
Abstract: In this paper, the authors propose a fuzzy-controlled Kalman filtering scheme applied to stereo visual tracking. Two control levels have been designed: first, a fuzzy methodology allows the filter to fine tune to actual conditions by estimating the plant noise covariance matrix in every time instant. Second, a fuzzy control stage based on a fuzzy feedback system is used to reinitiate the filter in those cases in which a track is lost. The principal coordinates paradigm has been used for the-filter, but the methodology here proposed carries over easily to other more popular Kalman schemes. (C) 2002 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/10553/47457
ISSN: 0165-1684
DOI: 10.1016/S0165-1684(02)00381-X
Source: Signal Processing[ISSN 0165-1684],v. 83, p. 101-120
Appears in Collections:Artículos
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