Original title: Object Tracking Using Kalman Filter
Authors: Sehnoutka, M.
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The goal of this paper is to describe design and implementation of system which is supposed to track objects in video sequence. Kalman filter is used for modeling object movement and prediction of its trajectory in moments when the object is hidden. System can use two different models. One is supposed to track objects that are moving with constant velocity and second one with constant acceleration.
Keywords: Kalman filter; Machine vision; Object tracking
Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/42963

Permalink: http://www.nusl.cz/ntk/nusl-207154


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers