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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 Aug 2010, Lisbon, Portugal. IOS Press , 1103 - 1104. ISBN 160750605X
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2010, IOS Press. This is an author produced version of a paper published in ECAI 2010. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2013 10:42 |
Last Modified: | 19 Dec 2022 13:25 |
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 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75459 |
Available Versions of this Item
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Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs. (deposited 29 Oct 2012 14:59)
- Discovering an event taxonomy from video using qualitative spatio-temporal graphs. (deposited 30 Apr 2013 10:42) [Currently Displayed]