The Charles Stark Draper Laboratory, Inc.

Sensormatic Electronics Corporation

Intellivid Corporation

Neil Brock

Christopher J Buehler

Patrick Sobalvarro

Matthew A Gruenke

Samuel Beilin

David Crane

M Jay Prizant

Eric T Antelman

Jeffrey Zinchuk

Roger Racine

Adam J Elbirt

Jehanbux Edulbehram

Systems and methods are disclosed herein for a replicated duplex computer system. The system includes a triplet of network elements, which each maintain a clock signal, and a monitor at each network element for monitoring incoming clock signals. Each network element interfaces with a fault containment region (FCR). The system provides the ability to transition to a duplex system if one of the fault containment regions fails. The three network elements are able to send their clock signals to the other network elements and receive their own clock signal and clock signals from the other elements. The monitors are configured to detect discrepancies in the clock signals of the network elements. If a monitor determines that an FCR has failed, each network element is reconfigured so that the FTPP system operates in a duplex mode without the faulty FCR by replacing the clock signal from the faulty element with its own clock signal.

System and method for duplexed replicated computing

A computerized method of video analysis that includes receiving several series of video frames generated by a number of image sensors. Each image sensor has its own field-of-view which can, but does not have to, overlap with another image sensor's field-of-view. The image sensors monitor a portion of a monitored environment. The computerized method also includes concurrently tracking, independent of calibration, multiple objects within the monitored environment as the objects move between fields-of-view, and multiple objects within one field-of-view. The tracking is based on the plurality of received series of video frames.

Method and system for tracking and behavioral monitoring of multiple objects moving through multiple fields-of-view

Systems and methods for determining when a change has occurred in an area-of-interest included in an image region are disclosed. The system and methods may perform a specially modified background subtraction method. The systems and methods may initialize a background image region and then comparing a first image region from a second frame to the background image region to classify pixels as foreground pixels or background pixels. The foreground pixels are then classified based on predetermined characteristics. The background image region may then be updated to include foreground pixels that did not have the predetermined characteristics. The systems and methods allow for searching for background updates to thereby determine when a change has occurred in the area-of-interest.

System and method for searching for changes in surveillance video

Growing community of inventors

Acton, MA, United States of America

Neil Brock