Real-time Color Ball Tracking for Augmented Reality

dc.contributor.authorSýkora, Danielen_US
dc.contributor.authorSedlácek, Daviden_US
dc.contributor.authorRiege, Kaien_US
dc.contributor.editorRobert van Liere and Betty Mohleren_US
dc.date.accessioned2014-01-27T11:01:24Z
dc.date.available2014-01-27T11:01:24Z
dc.date.issued2008en_US
dc.description.abstractIn this paper, we introduce a light-weight and robust tracking technique based on color balls. The algorithm builds on a variant of randomized Hough transform and is optimized for a use in real-time applications like on low-cost Augmented Reality (AR) systems. With just one conventional color camera our approach provides the ability to determine the 3D position of several color balls at interactive frame rates on a common PC workstation. It is fast enough to be easily combined with another real-time tracking engine. In contrast to popular tracking techniques based on recognition of planar fiducial markers it offers robustness to partial occlusion, which eases handling and manipulation. Furthermore, while using balls as markers a proper haptic feedback and visual metaphor is provided. The exemplary use of our technique in the context of two AR applications indicates the effectiveness of the proposed approach.en_US
dc.description.seriesinformationEurographics Symposium on Virtual Environmentsen_US
dc.identifier.isbn978-3-905674-06-4en_US
dc.identifier.issn1727-530Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGVE/EGVE08/009-016en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.6 [Image Processing and Computer Vision]: Segmentation (Edge and feature detection) I.4.7 [Image Processing and Computer Vision]: Feature Measurement (Size and shape) I.4.8 [Image Processing and Computer Vision]: Scene Analysis (Tracking) I.5.5 [Pattern Recognition]: Implementation (Interactive systems)en_US
dc.titleReal-time Color Ball Tracking for Augmented Realityen_US
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