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Proceedings Paper

3D surveillance system using multiple cameras
Author(s): Ajay Kumar Mishra; Bingbing Ni; Stefan Winkler; Ashraf Kassim
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Paper Abstract

We propose a 3D surveillance system using multiple cameras surrounding the scene. Our application is concerned with identifying humans in the scene and then identifying their postures. Such information can help with automatic threat assessment of a scene. The cameras are fully calibrated and assumed to remain fixed in their positions. Object detection and interpretation are performed completely in 3D space. Using depth information, persons can easily be separated from the background and their posture identified by matching with 3D model templates.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6491, Videometrics IX, 649103 (29 January 2007); doi: 10.1117/12.703449
Show Author Affiliations
Ajay Kumar Mishra, National Univ. of Singapore (Singapore)
Bingbing Ni, National Univ. of Singapore (Singapore)
Stefan Winkler, National Univ. of Singapore (Singapore)
Ashraf Kassim, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 6491:
Videometrics IX
J.-Angelo Beraldin; Fabio Remondino; Mark R. Shortis, Editor(s)

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