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dc.contributor.authorBierz, T.
dc.contributor.authorEbert, A.
dc.contributor.authorMeyer, J.
dc.contributor.editorHagen, Hans
dc.contributor.editorHering-Bertram, Martin
dc.contributor.editorGarth, Christoph
dc.date.accessioned2017-09-23T07:01:44Z
dc.date.available2017-09-23T07:01:44Z
dc.date.issued2008
dc.identifier.isbn978-3-88579-441-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/4628
dc.description.abstractOver the past years, the interaction between humans and computers (HCI) evolved to one of the most important research topics in computer science. Therefore, finding a way for an intuitive, easy and affordable interaction is the main challenge. Optical markerless tracking using consumer hardware can satisfy these problems. However, in order to be able to interact in an efficient way, the tracking and furthermore the interaction must be handled in real time. This leads to efficient use of current GPUs in order to speed up the tracking and furthermore the gesture recognition. Involving these issues, an approach for an implementation and system will be presented in the following paper.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofVisualization of large and unstructured data sets
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-7
dc.titleGPU accelerated gesture detection for real time interactionen
dc.pubPlaceBonn
mci.reference.pages64-75
mci.conference.locationKaiserslautern
mci.conference.date9. - 11. September 2007


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