Objectvideo, Inc

Diamondback Vision, Inc.

Avigilon Fortress Corporation

William E Severson

Thomas M Strat

Mark Allmen

Alan J Lipton

Niels Haering

Zhong Zhang

Andrew J Chosak

Matthew F Frazier

Tasuki Hirata

Peter L Venetianer

John I W Clark

James S Sfekas

Paul C Brewer

Thomas E Slowe

Pèter L Venetianer

James S Seekas

John Clark

Chris Debrunner

Caspar Horne

John F Tilki

Mark C Allmen

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 extracted video primitives and event occurrences may be used to create and define additional video analytic rules. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Video analytic rule detection system and method

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 method for segmenting video data into foreground and background portions utilizes statistical modeling of the pixels. A statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons. The method for segmenting video data may be further incorporated into a method for implementing an intelligent video surveillance system.

Video segmentation using statistical pixel modeling

A method of generating and utilizing a scene model from a sequence of video frames produces a three-dimensional scene model, useful for video processing. The method separates foreground and background data. It uses an estimate of relative motion of an observer to project each frame onto a coordinate system of the three-dimensional scene model. It then merges the background data of a given frame into the scene model.

Scene model generation from video for use in video processing

A method for implementing a video tripwire includes steps of calibrating a sensing device to determine sensing device parameters for use by the system; initializing the system, including entering at least one virtual tripwire; obtaining data from the sensing device; analyzing the data obtained from the sensing device to determine if the at least one virtual tripwire has been crossed; and triggering a response to a virtual tripwire crossing.

Video tripwire

A method for segmenting video data into foreground and background portions utilizes statistical modeling of the pixels. A statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons.

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Littleton, CO, United States of America

William E Severson