Research Article
Snapshot: A Self-Calibration Protocol for Camera Sensor Networks
@INPROCEEDINGS{10.1109/BROADNETS.2006.4374302, author={Xiaotao Liu and Purushottam Kulkarni and Prashant Shenoy and Deepak Ganesan}, title={Snapshot: A Self-Calibration Protocol for Camera Sensor Networks}, proceedings={3rd International IEEE/CreateNet Workshop on Broadband Advanced Sensor Networks}, publisher={IEEE}, proceedings_a={BASENETS}, year={2006}, month={10}, keywords={}, doi={10.1109/BROADNETS.2006.4374302} }- Xiaotao Liu
Purushottam Kulkarni
Prashant Shenoy
Deepak Ganesan
Year: 2006
Snapshot: A Self-Calibration Protocol for Camera Sensor Networks
BASENETS
IEEE
DOI: 10.1109/BROADNETS.2006.4374302
Abstract
A camera sensor network is a wireless network of cameras designed for ad-hoc deployment. The camera sensors in such a network need to be properly calibrated by determining their location, orientation, and range. This paper presents Snapshot, an automated calibration protocol that is explicitly designed and optimized for camera sensor networks. Snapshot uses the inherent imaging abilities of the cameras themselves for calibration and can determine the location and orientation of a camera sensor using only four reference points. Our techniques draw upon principles from computer vision, optics, and geometry and are designed to work with low-fidelity, low-power camera sensors that are typical in sensor networks. An experimental evaluation of our prototype implementation shows that Snapshot yields an error of 1-2.5 degrees when determining the camera orientation and 5-10cm when determining the camera location. We show that this is a tolerable error in practice since a Snapshot-calibrated sensor network can track moving objects to within 11cm of their actual locations. Finally, our measurements indicate that Snapshot can calibrate a camera sensor within 20 seconds, enabling it to calibrate a sensor network containing tens of cameras within minutes.