Accession Number:

ADA513049

Title:

Personnel Detection via Fusion of Heterogeneous Sensor Data

Descriptive Note:

Final rept. 1 Jul 2006-30 Jun 2009

Corporate Author:

SYRACUSE UNIV NY OFFICE OF SPONSORED PROGRAMS

Personal Author(s):

Report Date:

2009-09-03

Pagination or Media Count:

5.0

Abstract:

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.

Subject Categories:

  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE