Kalman filter for vision tracking
Cuevas, Erik V. ;  Zaldivar, Daniel ;  Rojas, Raúl ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleKalman filter for vision tracking
AuthorCuevas, Erik V.
AuthorZaldivar, Daniel
AuthorRojas, Raúl
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages18 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]05,12
Classification (DDC)004 Data processing and Computer science
AbstractThe Kalman filter has been used successfully in different prediction
applications or state determination of a system. One important field in
computer vision is the object tracking. Different movement conditions
and occlusions can hinder the vision tracking of an object. In this report
we present the use of the Kalman filter in the vision tracking. We consider
the capacity of the Kalman filter to allow small occlusions and also the
use of the extended Kalman filter (EKF) to model complex movements of
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2005
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-06-23 : 09:40:09
Last changed2015-03-03 : 01:42:17
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000002397