Anwar, Fahad and Petrounias, Ilias and Morris, Tim and Kodogiannis, Vassilis (2010) Entity appearance model generation for multimedia events in surveillance videos. In: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings. IEEE, pp. 379-383. ISBN 9781424451647
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Official URL: http://dx.doi.org/10.1109/IS.2010.5548368
Traditionally, surveillance systems only focus on a small number of entities (such as humans, entrance and exit areas, etc.) and appearance models of these entities are uploaded manually in the system. However, as the end users are becoming more aware of the vision based technologies, there is ever growing demand for advanced surveillance systems which can detect complex abnormal events on different aspects of operational activities and can also provide intelligence to improve their operational management process. To achieve this goal, we proposed the event mining framework which explores the relationship between entity feature-sets and associated text strings to generate appearance models of all the entities automatically and can update them dynamically.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||11 Nov 2010 11:36|
|Last Modified:||11 Nov 2010 11:36|
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