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Geometry of a Non-Overlapping Multi-Camera Network
Sydney, NSW, Australia November 22-November 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.532006 IEEE International Conference on ...
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Imran Junejo, University of Central Florida, USA
Xiaochun Cao, University of Central Florida, USA
Hassan Foroosh, University of Central Florida, USA
Moving beyond single or stationary camera surveillance systems, we employ an automatically configurable network of non-overlapping cameras. These cameras need not have an overlapping Field of View (FoV) and should be able to move freely in space. In this paper, a practical framework is proposed that determines the geometry of such a dynamic camera network. Assuming each camera in the network is calibrated, it is shown that only one automatically computed vanishing point and a line lying on any plane orthogonal to the vertical direction is sufficient to infer the dynamic network configuration. Our method generalizes previous work which considers restricted camera motions. Using minimal assumptions, we are able to successfully demonstrate promising results on synthetic as well as on real data.
Citation:
Imran Junejo, Xiaochun Cao, Hassan Foroosh, "Geometry of a Non-Overlapping Multi-Camera Network," avss, pp.43, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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