This Sensor proposal focuses on addressing the limitations of large scale wireless networks of imaging sensors, namely limitations of sensor power and network bandwidth and human limitations in the capability to absorb and integrate large amounts of image data. The ideal system provides the user with an integrated view from the multiple imagers, providing the feeling of being there along with the capability to navigate the space while allowing the network to run unattended for long periods of time. Achieving these goals requires a cross-layer design that encompasses all levels from the application to the hardware. Intellectual Merit: We propose developing adaptable low power imagers, distributed image fusion algorithms, and an overarching sensor management protocol. The imagers will be able to capture scenes with adaptable resolution, both spatially and in terms of image bit-depth, and perform compression for a fraction of the power required by existing systems. To present the image data to the user in a more integrated fashion, we will develop image mosaicking algorithms that work with uncalibrated cameras and non-planar scenes. Finally, we will develop intelligent sensor management techniques that use application-level information to appropriately configure the sensors and the network itself. Broader Impacts: (1) Providing a being there experience will have a profound impact on distance-based viewing applications, from surveillance to tele-presence. (2) The PIs are committed to training students and will integrate this research with their teaching. (3) The cross-disciplinary nature of this research and the potential for high societal impact will hopefully attract students from under-represented groups. (4) The PIs will develop a sensor network tutorial and use this with the demonstration image-based sensor network to spark the interest of the community in this exciting field of study.

Project Start
Project End
Budget Start
2004-09-01
Budget End
2010-08-31
Support Year
Fiscal Year
2004
Total Cost
$1,206,000
Indirect Cost
Name
University of Rochester
Department
Type
DUNS #
City
Rochester
State
NY
Country
United States
Zip Code
14627