Accession Number:

ADA532525

Title:

Human Signatures for Personnel Detection

Descriptive Note:

Final rept. 15 May 2004-14 Jan 2008

Corporate Author:

GEORGIA TECH RESEARCH CORP ATLANTA

Personal Author(s):

Report Date:

2010-09-14

Pagination or Media Count:

372.0

Abstract:

This MURI program continued into its final year this report covers the eleven months from 1 August 2009 to 14 June 2010. The overall goal of this program is a comprehensive understanding of the phenomenology underlying the signatures generated by humans, the detection of those signatures using multiple sensor modalities, and the processing of those signatures to detect personnel. In particular, the objectives are to understand the physics of these signatures in traditionally difficult detection environments buildings, caves, tunnels, camouflaged settings, identify sensor network constructs to record these signatures, and develop processing techniques e.g., distributed processing to exploit these signatures for personnel detection. During this reporting period, the technical efforts focused on three sensor domains seismicacoustics, electro-optics, and radar. Seismicacoustics technical efforts investigated use of passive and active sensing modes. Electro-optics research focused on continued development of a multi-modal human signature urban model, collecting motion data, development of motion-based detection algorithms, and developing techniques for detection in low pixel video sequences. Additional work focused on exploiting motion capture data for human motion characterization and discrimination. Radar-based research focused on investigating improving autoregressive modeling approaches for gait detection.

Subject Categories:

  • Acoustic Detection and Detectors
  • Optical Detection and Detectors
  • Infrared Detection and Detectors
  • Active and Passive Radar Detection and Equipment
  • Seismic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE