A unified 2D-3D video scene change detection framework for mobile camera platforms
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2010
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Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044559/venkatesh-aunified-2010.pdf http://hdl.handle.net/10.1109/ICARCV.2010.5707222 |
Direitos |
2010, IEEE |
Palavras-Chave | #3D and 2D background modelling #moving images #scene change detection |
Tipo |
Conference Paper |