Objectvideo, Inc

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Zhong Zhang

Alan J Lipton

Niels Haering

Andrew J Chosak

Weihong Yin

Li Yu

Paul C Brewer

Omar Javed

Zeeshan Rasheed

Matthew F Frazier

Haiying Liu

Himaanshu Gupta

Mark Allmen

Thomas M Strat

William E Severson

Tasuki Hirata

James S Seekas

John Clark

Liangyin Yu

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Video surveillance system employing video primitives

A computer-readable medium contains software that, when read by a computer, causes the computer to perform a method for wide-area site-based surveillance. The method includes receiving surveillance data, including view targets, from a plurality of sensors at a site; synchronizing the surveillance data to a single time source; maintaining a site model of the site, wherein the site model comprises a site map, a human size map, and a sensor network model; analyzing the synchronized data using the site model to determine if the view targets represent a same physical object in the site; creating a map target corresponding to a physical object in the site, wherein the map target includes at least one view target; receiving a user-defined global event of interest, wherein the user-defined global event of interest is based on the site map and based on a set of rules; detecting the user-defined global event of interest in real time based on a behavior of the map target; and responding to the detected event of interest according to a user-defined response to the user-defined global event of interest.

Wide-area site-based video surveillance system

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McLean, VA, United States of America

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