Gatsoulis, Y. and Alomari, M. and Burbridge, C. and Dondrup, C. and Duckworth, P. and Lightbody, P. and Hanheide, M. and Hawes, N. and Hogg, D. C. and Cohn, A. G. (2016) QSRlib: a software library for online acquisition of qualitative spatial relations from video. In: 29th International Workshop on Qualitative Reasoning (QR16), at IJCAI-16, 11 July 2016, New York.
Full content URL: https://ivi.fnwi.uva.nl/tcs/QRgroup/qr16/pdf/05Gat...
05Gatsoulis.pdf - Whole Document
There is increasing interest in using Qualitative Spatial
Relations as a formalism to abstract from noisy and
large amounts of video data in order to form high level
conceptualisations, e.g. of activities present in video.
We present a library to support such work. It is compatible
with the Robot Operating System (ROS) but can
also be used stand alone. A number of QSRs are built
in; others can be easily added.
|Item Type:||Conference or Workshop contribution (Paper)|
|Subjects:||G Mathematical and Computer Sciences > G700 Artificial Intelligence|
|Divisions:||College of Science > School of Computer Science|
|Deposited By:||Marc Hanheide|
|Deposited On:||26 Oct 2016 08:18|
|Last Modified:||26 Oct 2016 08:20|
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