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MOSAIC: A Multi-modal Surveillance System to Enhance Situation Awareness and Decision Making
Citation key 1443Adderley2014
Author Richard Adderley and Atta Badii and Ruben Heras Evangelio and Matteo Raffaelli and Patrick Seidler and Marco Tiemann
Title of Book HCI International 2014
Pages 141–146
Year 2014
DOI 10.1007/978-3-319-07857-1_25
Address Heraklion, Crete, Greece
Month jun
Note Print ISBN 978-3-319-07856-4 Online ISBN 978-3-319-07857-1
Publisher Springer International Publishing
Abstract With increasing complexity of systems under surveillance, demand grows for automated video-based surveillance systems which are able to support end users in making sense of situational context from the amount of available data and incoming data streams. Traditionally, those systems have been developed based on techniques derived from the fields of image processing and pattern recognition. This paper presents MOSAIC (Multi-Modal Situation Assessment and Analytics Platform), a system which aims at exploiting multi-modal data analysis comprising advanced tools for video analytics, text mining, social network analysis, and decision support in order to provide from a richer context an understanding of behaviour of the system under surveillance and to support police personnel in decision making processes.
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