Stereo-vision-based moving object tracking via robust linear filtering Pathirana, Pubudu, Bishop, Adrian and Savkin, Andrey 2007, Stereo-vision-based moving object tracking via robust linear filtering, in Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing Conference, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 221-226. Attached Files Name Description MIMEType Size Downloads Title Stereo-vision-based moving object tracking via robust linear filtering Author(s) Pathirana, Pubudu orcid.org/0000-0001-8014-7798 Bishop, Adrian Savkin, Andrey Conference name International Conference on Intelligent Sensors, Sensor Networks and Information Processing (2007 : Melbourne, Vic.) Conference location Melbourne, Australia Conference dates 3-6 December 2007 Title of proceedings Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing Conference Editor(s) [Unknown] Publication date 2007 Conference series International Conference on Intelligent Sensors, Sensor Networks and Information Start page 221 End page 226 Publisher Institute of Electrical and Electronics Engineers (IEEE) Place of publication Piscataway, N.J. Summary Vision-based tracking sensors typically provide nonlinear measurements of the targets Cartesian position and velocity state components. In this paper we derive linear measurements using an analytical measurement conversion technique which can be used with two (or more) vision sensors. We derive linear measurements in the target’s Cartesian position and velocity components and we derive a robust version of a linear Kalman filter. We show that our linear robust filter significantly outperforms the extended Kalman Filter. Moreover, we prove that the state estimation error is bounded. ISBN 1424415020 9781424415021 Language eng Field of Research 010203 Calculus of Variations, Systems Theory and Control Theory HERDC Research category E1 Full written paper - refereed Copyright notice ©2007, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30008035 Document type: Conference Paper Collection: School of Engineering and Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 25 Feb 2009, 15:28:16 EST Thu, 26 Aug 2010, 11:13:06 EST Fri, 16 Mar 2012, 16:20:26 EST Wed, 21 Oct 2015, 13:19:04 EST Wed, 21 Oct 2015, 16:37:47 EST Tue, 06 Sep 2016, 10:52:36 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 730 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 29 Sep 2008, 09:03:46 EST

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