@INPROCEEDINGS{1443Adderley2014,
	AUTHOR = {Richard Adderley and Atta Badii and Ruben Heras Evangelio and Matteo Raffaelli and Patrick Seidler and Marco Tiemann},
	TITLE = {MOSAIC: A Multi-modal Surveillance System to Enhance Situation Awareness and Decision Making},
	BOOKTITLE = {HCI International 2014},
	YEAR = {2014},
	MONTH = jun,
	PUBLISHER = {Springer International Publishing},
	PAGES = {141--146},
	ADDRESS = {Heraklion, Crete, Greece},
	NOTE = {Print ISBN  978-3-319-07856-4
Online ISBN 978-3-319-07857-1},
	DOI = {10.1007/978-3-319-07857-1_25},
	URL = {http://link.springer.com/chapter/10.1007%2F978-3-319-07857-1_25},
	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.}
}