Title
Geometry Of A Non-Overlapping Multi-Camera Network
Abstract
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. © 2006 IEEE.
Publication Date
1-1-2006
Publication Title
Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
Number of Pages
43-48
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/AVSS.2006.53
Copyright Status
Unknown
Socpus ID
34547254700 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34547254700
STARS Citation
Junejo, Imran; Xiaochun, Cao; and Foroosh, Hassan, "Geometry Of A Non-Overlapping Multi-Camera Network" (2006). Scopus Export 2000s. 9089.
https://stars.library.ucf.edu/scopus2000/9089