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A unified 2D-3D video scene change detection framework for mobile camera platforms

Leoputra, W. S., Tan, T. and Venkatesh, S. 2010, A unified 2D-3D video scene change detection framework for mobile camera platforms, in ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, IEEE, Washington, D. C., pp. 2147-2153.

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Title A unified 2D-3D video scene change detection framework for mobile camera platforms
Author(s) Leoputra, W. S.
Tan, T.
Venkatesh, S.ORCID iD for Venkatesh, S. orcid.org/0000-0001-8675-6631
Conference name International Conference on Control, Automation, Robotics and Vision (11th : 2010 : Singapore, Singapore)
Conference location Singapore, Singapore
Conference dates 7-10 Dec. 2010
Title of proceedings ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision
Editor(s) [Unknown]
Publication date 2010
Conference series International Conference on Control, Automation, Robotics and Vision
Start page 2147
End page 2153
Total pages 7
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) 3D and 2D background modelling
moving images
scene change detection
Summary In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approach integrates sparse 3D scene background modelling and dense 2D image background modelling into a unified framework. The 3D scene background modelling identifies inconsistent clusters over time in a set of 3D cloud points as the scene changes. The 2D image background modelling further confirms the scene changes by finding inconsistent appearances in a set of aligned images using the classical MRF background subtraction technique. We evaluate the performance of our proposed system on a number of challenging video datasets obtained from a camera placed on a moving vehicle and the experiments show that our proposed method outperforms previous works in scene change detection, which suggested the feasibility of our approach.
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 9781424478149
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 ©2010, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044559

Document type: Conference Paper
Collections: School of Information Technology
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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.