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
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.
|Institution:||The University of Leeds|
|Academic Units:||The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds)
|Depositing User:||Symplectic Publications|
|Date Deposited:||29 Oct 2012 14:59|
|Last Modified:||16 Sep 2016 14:20|