Sridhar, M, Cohn, AG and Hogg, DC (2010) Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs. In: Coelho, H, Suder, R and Wooldridge, M, (eds.) ECAI 2010 - 19th European Conference on Artificial Intelligence,Proceedings. 19th European Conference on Artificial Intelligence, 16-20 August 2010, Lisbon, Portugal. IOS Press , 1103 - 1104 . ISBN 978-1-60750-605-8
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Abstract
This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relationships. A Hidden Markov Model to obtain stable qualitative spatial relations from noisy measurements is introduced. The effectiveness of the approach is demonstrated through experimental results for a complex aircraft turnaround apron scenario.
| Item Type: | Proceedings Paper |
|---|---|
| Academic Units: | The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 29 Oct 2012 14:59 |
| Last Modified: | 08 Feb 2013 17:40 |
| Published Version: | http://dx.doi.org/10.3233/978-1-60750-606-5-1103 |
| Status: | Published |
| Publisher: | IOS Press |
| Identification Number: | 10.3233/978-1-60750-606-5-1103 |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/74699 |
Available Versions of this Item
- Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs. (deposited 29 Oct 2012 14:59) [Currently Displayed]
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