Paper
29 January 2007 3D surveillance system using multiple cameras
Ajay Kumar Mishra, Bingbing Ni, Stefan Winkler, Ashraf Kassim
Author Affiliations +
Proceedings Volume 6491, Videometrics IX; 649103 (2007) https://doi.org/10.1117/12.703449
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ajay Kumar Mishra, Bingbing Ni, Stefan Winkler, and Ashraf Kassim "3D surveillance system using multiple cameras", Proc. SPIE 6491, Videometrics IX, 649103 (29 January 2007); https://doi.org/10.1117/12.703449
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Cameras

3D modeling

Calibration

Shape analysis

Surveillance systems

3D image processing

Databases

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