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Distributed calibration of pan-tilt camera network using multi-layered belief propagation
A. Choudhary, G. Sharma, , S. Banerjee
Published in
Pages: 33 - 40
In this paper, we present a technique for distributed selfcalibration of pan-tilt camera network using multi-layered belief propagation. Our goal is to obtain globally consistent estimates of the camera parameters for each camera with respect to a global world coordinate system. The network configuration changes with time as the cameras can pan and tilt. We also give a distributed algorithm for automatically finding which cameras have overlapping views at a certain point in time. We argue that using belief propagation it is sufficient to have correspondences between three cameras at a time for calibrating a larger set of (static) cameras with overlapping views. Our method gives an accurate and globally consistent estimate of the camera parameters of each camera in the network. © 2010 IEEE.
About the journal
Journal2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010