Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/88225
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Type: Conference paper
Title: Hidden view synthesis using real-time visual SLAM for simplifying video surveillance analysis
Author: Mei, C.
Sommerlade, E.
Sibley, G.
Newman, P.
Reid, I.
Citation: 2011 IEEE International Conference on Robotics and Automation (ICRA), 2011 / pp.4240-4245
Publisher: IEEE
Publisher Place: USA
Issue Date: 2011
ISBN: 9781612843865
ISSN: 1050-4729
Conference Name: 2011 IEEE International Conference on Robotics and Automation (ICRA) (09 May 2011 - 13 May 2011 : Shanghai, China)
Statement of
Responsibility: 
C. Mei, E. Sommerlade, G. Sibley, P. Newman, I. Reid
Abstract: Understanding and analysing video data from static or mobile surveillance cameras often requires knowledge of the scene and the camera placement. In this article, we provide a way to simplify the user's task of understanding the scene by rendering the camera view as if observed from the user's perspective by estimating his position using a real-time visual SLAM system. Augmenting the view is referred to as hidden view synthesis. Compared to previous work, the current approach improves by simplifying the setup and requiring minimal user input. This is achieved by building a map of the environment using a visual SLAM system and then registering the surveillance camera in this map. By exploiting the map, a different moving camera can render hidden views in real-time at 30Hz. We discuss some of the challenges remaining for full automation. Results are shown in an indoor environment for surveillance applications and outdoors with application to improved safety in transport.
Rights: ©2011 IEEE
RMID: 0020131187
DOI: 10.1109/ICRA.2011.5980093
Appears in Collections:Computer Science publications

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