Distributed Calibration of Pan-Tilt Camera Network Using Multi-Layered Belief Propagation
Abstract
In this paper, we present a technique for distributed self-calibration 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.
Cite
Text
Choudhary et al. "Distributed Calibration of Pan-Tilt Camera Network Using Multi-Layered Belief Propagation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010. doi:10.1109/CVPRW.2010.5543798Markdown
[Choudhary et al. "Distributed Calibration of Pan-Tilt Camera Network Using Multi-Layered Belief Propagation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010.](https://mlanthology.org/cvprw/2010/choudhary2010cvprw-distributed/) doi:10.1109/CVPRW.2010.5543798BibTeX
@inproceedings{choudhary2010cvprw-distributed,
title = {{Distributed Calibration of Pan-Tilt Camera Network Using Multi-Layered Belief Propagation}},
author = {Choudhary, Ayesha and Sharma, Gaurav and Chaudhury, Santanu and Banerjee, Subhashis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2010},
pages = {33-40},
doi = {10.1109/CVPRW.2010.5543798},
url = {https://mlanthology.org/cvprw/2010/choudhary2010cvprw-distributed/}
}