Northrop Grumman Systems Corporation

Richard L Hoffman

Walter Dennis Clark

Joseph A Taylor

A method and system of predictive threat detection is provided which utilizes data collected via a ubiquitous sensor network spread over a plurality of sites in an urban environment. The method includes the steps of: triggering an inquiry regarding a suspect entity at a current site in response to commission of a triggering action by the suspect entity; in response to the inquiry, compiling the data corresponding to the sites at which the suspect entity was detected by the sensor network; and analyzing the data to determine a threat status regarding the suspect entity.

Automated asymmetric threat detection using backward tracking and behavioral analysis

The present invention includes a method for analyzing an image to screen for target candidates wherein an edge-follower detects straight segments within a plurality of longer edges and detects also from the longer edges, contours that go around areas that are the right size. The invention also contemplates starting the edge-follower from seeds on the image and terminating the edge-following process if the edge meanders too much to ever become an acceptable contour. In accordance with another embodiment, the straight segments can be further screened by measuring the gradient direction and then noting the deviation from the mean of those direction values. The highly straight edges thus found, in confluence with each other, or near a correct size contour define likely candidates.

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Rancho Palos Verdes, CA, United States of America

Richard L Hoffman