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.
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05Gatsoulis.pdf - Whole Document
|Item Type:||Conference or Workshop contribution (Paper)|
|Item Status:||Live Archive|
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.
|Subjects:||G Mathematical and Computer Sciences > G700 Artificial Intelligence|
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||26 Oct 2016 08:18|
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