Home /Research /QSRlib: a software library for online acquisition of qualitative spatial relations from video
OTHER

QSRlib: a software library for online acquisition of qualitative spatial relations from video

Yiannis Gatsoulis, Muhannad Alomari, Chris Burbridge, Christian Dondrup, Paul Duckworth, P. Lightbody, Marc Hanheide, Nick Hawes, David Hogg, AG Cohn

Year
2016
Citations
39
Access
Open access

Abstract

There is increasing interest in using Qualitative Spatial
\nRelations as a formalism to abstract from noisy and
\nlarge amounts of video data in order to form high level
\nconceptualisations, e.g. of activities present in video.
\nWe present a library to support such work. It is compatible
\nwith the Robot Operating System (ROS) but can
\nalso be used stand alone. A number of QSRs are built
\nin; others can be easily added.

Keywords

Computer scienceSoftwareFormalism (music)Spatial relationMultimediaHuman–computer interactionQualitative researchWorld Wide WebArtificial intelligenceSociology

Related papers

Browse all OTHER papers