Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Position Measurement Using Dead Reckoning
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Distributed localization of networked cameras
Proceedings of the 5th international conference on Information processing in sensor networks
Collaborative node localization in surveillance networks using opportunistic target observations
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Approximate initialization of camera sensor networks
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
IEEE Communications Magazine
Hi-index | 0.00 |
In camera sensor network research, physical camera sensor network platforms with low power and low cost are needed for testing and validating algorithms. It is also necessary that the camera nodes be calibrated precisely. In this work, we first develop and evaluate a low power and low cost wireless camera sensor network platform. The camera sensor nodes in this platform transmit a grayscale image over a wireless channel to a master control station. Then we propose a simple, light-weight algorithm to perform distributed calibration of the camera sensor nodes. The camera sensor nodes use their imaging abilities in collaboration with a cooperative moving target to determine their own positions and orientations. The proposed algorithm requires simple arithmetic calculations and hence it can be realized on low power processors. This calibration algorithm has been implemented and evaluated on the developed physical camera sensor network platform.