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

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conference contribution
posted on 2010-01-01, 00:00 authored by W Leoputra, T Tan, Svetha VenkateshSvetha Venkatesh
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.

History

Pagination

2147 - 2153

Location

Singapore, Singapore

Open access

  • Yes

Start date

2010-12-07

End date

2010-12-10

ISBN-13

9781424478149

Language

eng

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.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2010, IEEE

Title of proceedings

ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision