Unifying background models over complex audio using entropy Moncrieff, Simon, Venkatesh, Svetha and West, Geoff 2006, Unifying background models over complex audio using entropy, in ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 249-253. Attached Files Name Description MIMEType Size Downloads venkatesh-unifyingbackground-2006.pdf Published version application/pdf 147.21KB 33 Title Unifying background models over complex audio using entropy Author(s) Moncrieff, Simon Venkatesh, Svetha orcid.org/0000-0001-8675-6631 West, Geoff Conference name International Conference on Pattern Recognition (18th : 2006 : Hong Kong, China) Conference location Hong Kong, China Conference dates 20-24 Aug. 2006 Title of proceedings ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition Editor(s) [Unknown] Publication date 2006 Conference series International Conference on Pattern Recognition Start page 249 End page 253 Total pages 5 Publisher IEEE Place of publication Washington, D. C. Keyword(s) adaptive gaussian mixture models complex audio environments model variations Summary 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. Notes 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. ISBN 0769525210 ISSN 1051-4651 Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2006, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30044605 Document type: Conference Paper Collections: School of Information Technology Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 20 Apr 2012, 11:34:52 EST Fri, 27 Apr 2012, 16:31:16 EST Fri, 27 Apr 2012, 16:32:40 EST Thu, 03 May 2012, 11:38:53 EST Tue, 28 Jan 2014, 13:38:58 EST Tue, 06 Sep 2016, 18:45:29 EST Sat, 21 Oct 2017, 02:03:05 EST Tue, 05 Dec 2017, 12:31:31 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 315 Abstract Views, 33 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:34:52 EST

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