Discrimination, Identification, and Tracking of Unresolved Targets Using Tomographic Integration of Multiplex Sensor Data
Final rept. 25 Sep 2003-25 May 2006
DUKE UNIV DURHAM NC DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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The objective of this research is the development of a low cost sensor system with applications in biometric tracking and authentication. We have demonstrated the ability to classify and track human motion using low cost, off-the-shelf pyroelectric detectors. We have designed fieldable sensor units that are anonymous and can perform multiple tasks such as biometric classification, multiple object tracking, and camera pointing. We have demonstrated the ability to track two individuals and demonstrated the ability to recognize multiple humans with an accuracy of 86. We have integrated the units through wireless communication to allow the creation of a cluster field of detectors.
- Infrared Detection and Detectors
- Target Direction, Range and Position Finding