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Passive multitarget tracking with cameras

dc.contributor.authorLaneuville, Dann
dc.contributor.authorNègre, Adrien
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T09:59:58Z
dc.date.available2018-11-27T09:59:58Z
dc.date.issued2011
dc.description.abstractThis paper considers large areas surveillance and 3D tracking with passive data, obtained here by geographically distributed cameras. The first step, at a camera level, is to detect moving objects in the video sequence and we propose a very simple, fast and efficient approach: a pixel level background subtraction technique to segment foreground pixels and a region level process where segmented pixels are connected into objects. Experiments on real costal environment videos of this method demonstrate similar results compare to more sophisticated approaches with a very low processing time, which allows processing high resolution images. The second step is then to obtain 3D tracks by merging the elementary detections issued by the cameras and we use a suitably modified Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter approach in a centralized fusion scheme. We present some results with simulated data obtained on a realistic test scenario.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18800
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titlePassive multitarget tracking with camerasen
dc.typeText/Conference Paper
gi.citation.endPage487
gi.citation.publisherPlaceBonn
gi.citation.startPage487
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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