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An Efficient Event Definition Framework for Retail Sector Surveillance Systems

Authors:
Fahad Anwar
Ilias Petrounias
Sandra Sampaio
Vassilis Kodogiannis
Tim Morris

Keywords: Multimedia event modelling; intelligent surveillance system; multimedia event annotation and data mining.

Abstract:
Event representation models provide a framework in which we can reason about events so as to interpret the collective behaviour of objects over time and space domains. Many are context-specific and lack flexibility when faced with unstructured video. In [1], a concentrated effort has been reported to define a comprehensive event description framework (EDF), which can provide a framework to develop ontologies for semantic annotation of video events. However, it is observed that there are some areas of event modelling that were not fully explored in EDF. Hence, we extended and modified the EDF and proposed the extended version of it (EDFE). EDFE not only increases the EDF’s capability to model complex multimedia events but also facilitates the event detection and event mining processes. Following are some of the major extensions we have proposed in EDFE. 1) EDFE extends the entity representation model of EDF by introducing three new entity classes: that of text entity, virtual entity and internal entity. These new entity classes enable the user to model complex multimedia events and can also facilitate event detection and mining activities. II) EDFE introduces a new set of predicates for describing more complex event scenarios and facilitating the event detection process. It also introduces granularity as a feature of temporal predicates to capture the temporal association between sub-events. III) It introduces the event evidence feature to capture the full evidence for the detected events. IV) The data structure of EDF is extended and modified to capture the properties of EDFE and to store the results of the event detection process. V) We model complex events from real world surveillance videos using the proposed EDFE.

Pages: 37 to 44

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-320-9

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014