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dc.contributor.authorMoncrieff, Simon
dc.contributor.authorVenkatesh, Svetha
dc.contributor.authorWest, Geoffrey
dc.contributor.editorTang, Y.
dc.contributor.editorWang, S.
dc.contributor.editorLorette, G.
dc.contributor.editorYoung, D.
dc.contributor.editorYang, H.
dc.date.accessioned2017-01-30T15:00:02Z
dc.date.available2017-01-30T15:00:02Z
dc.date.created2009-03-05T00:55:23Z
dc.date.issued2006
dc.identifier.citationMoncrieff, Simon and Venkatesh, Svetha and West, Geoffrey. 2006. Unifying background models over complex audio using entropy, in Tang, Y. and Wang, S. and Lorette, G. and Young, D. and Yang, H. (ed), 18th International Conference on Pattern Recognition 'ICPR', Aug 20 2006, Vol. 4: pp. 249-253. Hong Kong: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42503
dc.identifier.doi10.1109/ICPR.2006.1141
dc.description.abstract

In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio is used as an initial stage in the analysis of audio for surveillance and monitoring applications. Knowledge of the background serves to highlight unusual or infrequent sounds. An existing modelling approach uses an online, adaptive Gaussian mixture model technique that uses multiple distributions to model variations in the background. The method used to determine the background distributions of the GMM leads to a failure mode of the existing technique when applied to complex audio. We propose a method incorporating further information, the proximity of distributions determined using entropy, to determine a more complete background model. The method was successful in more robustly modelling the background for complex audio scenes

dc.publisherIEEE Coputer Society Conference Publishing Services
dc.titleUnifying background models over complex audio using entropy
dc.typeConference Paper
dcterms.source.startPage249
dcterms.source.endPage253
dcterms.source.issn10514651
dcterms.source.titleProceedings of the 18th International Conference on Pattern Recognition Vol 4
dcterms.source.seriesProceedings of the 18th International Conference on Pattern Recognition Vol 4
dcterms.source.isbn0769525210
dcterms.source.conferenceInternational Conference on Pattern Recognition 2006
dcterms.source.conference-start-date20 Aug 2006
dcterms.source.conferencelocationHong Kong
dcterms.source.placeLos Alamitos, USA
curtin.note

Copyright © 2006 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Electrical Engineering and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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