Title
Autoconfiguration Of A Dynamic Nonoverlapping Camera Network
Keywords
Image of the absolute conic (IAC); Nonoverlapping camera network; Self-calibration; Vanishing line
Abstract
In order to monitor sufficiently large areas of interest for surveillance or any event detection, we need to look beyond stationary cameras and employ an automatically configurable network of nonoverlapping cameras. These cameras need not have an overlapping field of view and should be allowed to move freely in space. Moreover, features like zooming in/out, readily available in security cameras these days, should be exploited in order to focus on any particular area of interest if needed. In this paper, a practical framework is proposed to self-calibrate dynamically moving and zooming cameras and determine their absolute and relative orientations, assuming that their relative position is known. A global linear solution is presented for self-calibrating each zooming/focusing camera in the network. After self-calibration, 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. © 2007 IEEE.
Publication Date
8-1-2007
Publication Title
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume
37
Issue
4
Number of Pages
803-816
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TSMCB.2007.895366
Copyright Status
Unknown
Socpus ID
34547237658 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34547237658
STARS Citation
Junejo, Imran N.; Cao, Xiaochun; and Foroosh, Hassan, "Autoconfiguration Of A Dynamic Nonoverlapping Camera Network" (2007). Scopus Export 2000s. 6459.
https://stars.library.ucf.edu/scopus2000/6459