A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms

In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approachintegrates 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 i...

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Bibliographic Details
Main Authors: Leoputra, Wilson, Tan, Tele, Venkatesh, Svetha
Other Authors: C. Wen
Format: Conference Paper
Published: IEEE Computer Society 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/14991
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author Leoputra, Wilson
Tan, Tele
Venkatesh, Svetha
author2 C. Wen
author_facet C. Wen
Leoputra, Wilson
Tan, Tele
Venkatesh, Svetha
author_sort Leoputra, Wilson
building Curtin Institutional Repository
collection Online Access
description In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approachintegrates 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.
first_indexed 2025-11-14T07:10:21Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:10:21Z
publishDate 2010
publisher IEEE Computer Society
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spelling curtin-20.500.11937-149912017-09-13T16:07:07Z A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms Leoputra, Wilson Tan, Tele Venkatesh, Svetha C. Wen Scene change detection 3D and 2D background modelling moving images In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approachintegrates 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. 2010 Conference Paper http://hdl.handle.net/20.500.11937/14991 10.1109/ICARCV.2010.5707222 IEEE Computer Society fulltext
spellingShingle Scene change detection
3D and 2D background modelling
moving images
Leoputra, Wilson
Tan, Tele
Venkatesh, Svetha
A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title_full A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title_fullStr A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title_full_unstemmed A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title_short A Unified 2D-3D Video Scene Change Detection Framework for Mobile Camera Platforms
title_sort unified 2d-3d video scene change detection framework for mobile camera platforms
topic Scene change detection
3D and 2D background modelling
moving images
url http://hdl.handle.net/20.500.11937/14991