Personnel Detection via Fusion of Heterogeneous Sensor Data
Final rept. 1 Jul 2006-30 Jun 2009
SYRACUSE UNIV NY OFFICE OF SPONSORED PROGRAMS
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The aim of this project was to i detect and classify personnel and their activities in an indoor environment monitored by different sensors, and ii develop novel signal processing approaches for networked sensors. During the course of this project, we have considered the case of video surveillance and have shown improved tracking performance using quality based fusion of data from multiple video sensors. We developed a copula based approach to heterogeneous sensor fusion.
- Target Direction, Range and Position Finding