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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/14991 |
| Summary: | 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. |
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