TIA Research will develop an approach for supporting the efficient storage, dissemination and retrieval of Ground Moving Target Indicator and Synthetic Aperture RADAR imagery within a distributed database. We will achieve this by a comprehensive research agenda that addresses the key elements of the… More

TIA Research will develop an approach for optimizing the performance of multi-hypothesis trackers. The work performed will consider primarily mechanisms for improving the association algorithm that is a fundamental element of the fusion process. In the first phase of this research, the proposed… More

TIA Research will continue the development of an approach for supporting the efficient storage, dissemination and retrieval of Ground Moving Target Indicator and Synthetic Aperture RADAR imagery within a distributed database. We will achieve this by implementing the results obtained during the Phase… More

Parietal Systems Inc. (PSI) proposes to develop an approach for optimizing the performance of multi-hypothesis tracking and fusion systems that will facilitate the incorporation of information in the form of logic-based constraints. The work performed will develop innovative mechanisms for improving… More

Networks of UAV's equipped with video sensors promise an affordable capability to keep track of moving ground targets of military interest in an urban environment in the presence of target occlusion, clutter, and other background traffic. But maintaining continuous track on multiple targets that… More

The Air Force has collected a large repository of Ground Moving Target Indicator (GMTI) data from a variety of sensors. This wealth of data offers an unprecedented opportunity to perform comprehensive statistical analyses of surface vehicle motions under a variety of conditions and to better… More

The ability of airborne GMTI radars to observe motion persistently over large regions provides an unsurpassed potential to detect linkages between events or facilities for forensic analysis. However, realizing this potential is currently a time-consuming, manually intensive task requiring days or… More

The basic goal of this research is to improve the capability to detect, locate, and characterize emerging abnormal activities in cluttered environments based on motion pattern analysis. Parietal Systems, Inc. (PSI) proposes to do this by developing novel closed-loop pattern detection and sensor… More

Proliferation of sensors, particularly on board unmanned platforms, is quickly enabling persistent surveillance of areas of military interest. The ability to collect and store such surveillance data over large areas and long time periods provides a rich database to mine for patterns of IED activity,… More

The implementation of ISR architectures such as layered sensing will significantly increase the number and types of sensors available for ATR, but at the same time the ISR problem is becoming become more difficult (e.g., thousands of targets, dismounts, urban terrain, extended operating conditions).… More

The ability of airborne GMTI radars to observe motion persistently over large regions provides an unsurpassed potential to detect linkages between events or facilities for forensic analysis. However, realizing this potential is currently a time-consuming, manually intensive task requiring days or… More

The Air Force has collected a large repository of Ground Moving Target Indicator (GMTI) data from a variety of sensors. This wealth of data offers an unprecedented opportunity to perform comprehensive statistical analyses of surface vehicle motions under a variety of conditions and to better… More

Layered sensing concepts will significantly increase the number and types of sensors available for ATR, but at the same time the ISR problem is becoming become more difficult (e.g., thousands of targets, dismounts, urban terrain, extended operating conditions). To exploit fully these new sensing… More

Dynamic tasking of constellations of satellites is subject to bottlenecks caused by uncertainties in the outcome of tasking and in the time required to complete tasks. The situation is exacerbated in situations where an adversarial force may be intentionally threatening the satellites, attacking… More

The ability to collect and store such surveillance data over large areas and long time periods provides a rich database to mine for patterns of IED and other threat activity, but current data mining is human-intensive and limited to non-real-time forensic analysis of threat events. We propose to… More

Emerging sensor concepts for extending the Space Surveillance Network will significantly increase the number and types of sensors available for maintaining the space catalog. Concurrently the same time the space situational awareness problem is becoming become exponentially more difficult (e.g.,… More

ABSTRACT: PSI will apply a novel form of unsupervised learning to the problem of detecting and identifying coordinated threats. Particular emphasis is placed on detecting motion based leading indicators of impending"swarming"attacks of small, low cost adversaries. The developed system… More

The development of full motion video sensors on board unmanned platforms is quickly enabling persistent surveillance of areas of military interest in dense urban environments. Although the high resolution and update rate of persistent sensors facilitates tracking ground targets, serious tracking… More

Recently, there have been significant theoretical advances in the fields of geo-statistics and spatio-temporal statistics. Unfortunately, the rapidly evolving technology has not yet resulted in off-the-shelf commercial toolkits, so the vast majority of the tools exist only as standalone, file based… More

ABSTRACT: The proposal considers a model based approach to detecting anomalous events and/or emerging threats to a satellite. The basis of the approach is the development of non-parametric Bayesian techniques for learning a model of satellite health. This model can then be used as the basis for… More

ABSTRACT: PSI will apply a novel form of unsupervised learning to the problem of detecting and identifying coordinated threats. Particular emphasis is placed on detecting motion based leading indicators of impending"swarming"attacks of small, low cost adversaries. The developed system… More