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Video Tracking
Inexpensive, highly capable video cameras and networks are rapidly being deployed throughout the world for a
wide variety of law enforcement, security, and military applications. Many of these applications require systems
that automatically track objects of interest over extended time periods in rural and urban terrain. SET’s team
of computer vision and image processing experts have developed award winning solutions for automatically tracking
vehicles and humans with networks of visible and infrared video sensors. Our tracking solutions employ SET’s
software camera stabilization technology, and are designed for robust, real-time performance in challenging
ground and airborne environments. 
SAR Automatic Target Recognition
Synthetic aperture radar makes all-weather, stand-off target recognition feasible. Unlike conventional
ATR approaches that rely on large repositories of expensive data exemplars, model-based approaches hold
the promise of making SAR ATR more robust, accurate, and affordable through the use of real-time computational
electromagnetics engines. SET researchers have been at the forefront of model-based ATR technology development,
and are currently advancing state of the art model based techniques to take advantage of next-generation multidimensional
SAR sensing capabilities. These techniques focus on improving SAR ATR robustness and accuracy under challenging
operating conditions, including line-of-sight obscuration, background layover, and target adjacency.
Video Stabilization and Mosaicking
Unmanned Air Vehicles capabilities are being extended through the proliferation of micro-air vehicles (MAVs),
which may be tasked by individual warfighters in the field to provide immediate situation awareness. These small,
portable platforms present new challenges for video stabilization algorithms. Traditional methods for recovering
ego-motion parameters do not perform well for MAVs due to jitter caused by poorly constrained platform motion and
poor video quality. SET has designed and demonstrated a powerful video stabilization and mosaicking algorithm that
provides robust MAV video stabilization. In contrast to competing solutions implemented on custom hardware, our
solution runs real time on a general purpose PC processor. Our video stabilization software module The module
includes multiple selectable user displays for optimal task based utilization, and incorporation of IMU/GPS data
when available. Written as a software “.dll,” the module can be readily incorporated by ground-station vendors
into their operator interface systems.
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