Proceedings Article | 4 May 2012
Proc. SPIE. 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI
KEYWORDS: Target detection, Radar, Sensors, Databases, Optical tracking, Analytical research, Electro optics, Environmental sensing, Performance modeling, Diffusion tensor imaging
With the advent of new technology in wide-area motion imagery (WAMI) and full-motion video (FMV), there is a
capability to exploit the imagery in conjunction with other information sources for improving confidence in detection,
tracking, and identification (DTI) of dismounts. Image exploitation, along with other radar and intelligence information
can aid decision support and situation awareness. Many advantages and limitations exist in dismount tracking analysis
using WAMI/FMV; however, through layered management of sensing resources, there are future capabilities to explore
that would increase dismount DTI accuracy, confidence, and timeliness. A layered sensing approach enables commandlevel
strategic, operational, and tactical analysis of dismounts to combine multiple sensors and databases, to validate DTI
information, as well as to enhance reporting results. In this paper, we discuss WAMI/FMV, compile a list of issues and
challenges of exploiting the data for WAMI, and provide examples from recently reported results. Our aim is to provide a
discussion to ensure that nominated combatants are detected, the sensed information is validated across multiple
perspectives, the reported confidence values achieve positive combatant versus non- combatant detection, and the related
situational awareness attributes including behavior analysis, spatial-temporal relations, and cueing are provided in a timely
and reliable manner to stakeholders.
