A Graph-Based Feature Combination Approach to Object Tracking Nguyen, Quang Anh, Robles-Kelly, Antonio and Zhou, Jun 2010, A Graph-Based Feature Combination Approach to Object Tracking, in ACCV 2009 : Proceedings of the 9th Asian Conference on Computer Vision 2009, Springer, Berlin, Germany, pp. 224-235, doi: 10.1007/978-3-642-12304-7_22. Attached Files Name Description MIMEType Size Downloads Title A Graph-Based Feature Combination Approach to Object Tracking Author(s) Nguyen, Quang Anh Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971 Zhou, Jun Conference name Computer vision. Asian conference (9th : 2009 : Xi'an, China) Conference location Xi'an, China Conference dates 2009/09/23 - 2009/09/27 Title of proceedings ACCV 2009 : Proceedings of the 9th Asian Conference on Computer Vision 2009 Editor(s) Zha, H B Taniguchi, R I Maybank, S Publication date 2010 Series Lecture Notes in Computer Science Start page 224 End page 235 Total pages 12 Publisher Springer Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Physical Sciences Computer Science, Artificial Intelligence Computer Science, Theory & Methods Optics Computer Science MEAN SHIFT ISBN 9783642123030 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-642-12304-7_22 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30125073 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 09 Jul 2019, 14:47:54 EST Wed, 10 Jul 2019, 05:02:18 EST Wed, 10 Jul 2019, 06:03:13 EST Thu, 03 Dec 2020, 15:41:59 EST Thu, 03 Dec 2020, 15:45:16 EST Thu, 03 Dec 2020, 15:48:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 75 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 09 Jul 2019, 14:47:54 EST

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