assign('title','TIA:Human ID at a Distance (HumanID)');
$smarty->assign('head','Human ID at a Distance (HumanID)');
$smarty->assign('subhead','Program Manager: Dr. Jonathon Phillips');
$content = '
Program Objective:
The goal of the Human Identification at a Distance (HumanID)
program is to develop automated biometric identification technologies
to detect, recognize and identify humans at great distances. These
technologies will provide critical early warning support for force
protection and homeland defense against terrorist, criminal, and other
human-based threats, and will prevent or decrease the success rate of
such attacks against DoD operational facilities and installations.
Methods for fusing biometric technologies into advanced human
identification systems will be developed to enable faster, more
accurate and unconstrained identification of humans at significant
standoff distances.
Program Strategy:
HumanID program has developed a pilot force protection system for
standoff human identification in outdoor operational DoD settings, and
has performed preliminary assessments of current and future
technologies. HumanID will determine the critical factors that affect
performance of biometric components, and identify the limits of range,
accuracy, and reliability. The program will also conduct multi-modal
fusion experiments and performance evaluations, and will demonstrate
advanced human recognition capabilities in multiple force protection
and/or homeland defense environments.
Planned Accomplishments:
- FY 02 Accomplishments:
- Designed and administered the Face Recognition Vendor Test
2002. Results will be used to direct face recognition
research and provide input to the design of the United
States
Border Entry/Exit System.
- Performed an operational evaluation of a long range
(25-150
feet) face recognition system developed under the HumanID
Program.
- Developed a multi-spectral infrared and visible face
recognition system.
- Developed a low power millimeter wave radar system for
wide
field of view detection and narrow field of view gait
classification.
- Characterized gait performance from video for human
identification at a distance.
- FY 03 Plans:
- Develop multi-model fusion algorithms for human
identification.
- Develop algorithms for locating and acquiring subjects out
to
150 meters (500 ft) in range.
- Continue the development of the most promising biometric
technologies based upon experimental evaluation
performance.
- FY 04 Plans:
- Develop and demonstrate a human identification system that
operates out to 150 meters (500 ft.) using visible
imagery.
- Fuse face and gait recognition into a 24/7 human
identification system.
- Perform an operational evaluation of a multi-model human
identification system.
Related Links:
';
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?>