Objectvideo, Inc

Avigilon Fortress Corporation

Samsung Electronics Co., Ltd.

Diamondback Vision, Inc.

Andrew J Chosak

Alan J Lipton

Niels Haering

Zhong Zhang

Gary W Myers

Peter L Venetianer

Weihong Yin

John I W Clark

Paul C Brewer

Matthew F Frazier

Li Yu

Donald Gerard Madden

Robert A Cutting

W Andrew Scanlon

Himaanshu Gupta

James S Sfekas

Zeeshan Rasheed

Geoffrey Egnal

Péter L Venetianer

Haiying Liu

Thomas M Strat

Michael C Mannebach

Geoffrey R Taylor

Omar Javed

Mark Allmen

William E Severson

Tasuki Hirata

Khurram Hassan-Shafique

Thomas E Slowe

Xiao Chun Cao

Pèter L Venetianer

John Ian Wallace Clark

Yongtong Hu

Thomas J Burns

Mun Wai Lee

Robert J Douglass

Pramod Kalapa

Chung-Cheng Yen

Wei Hong Yin

James S Seekas

John Clark

Liangyin Yu

Caspar Horne

John F Tilki

Asaad Hakeem

John Iw Clark

Mark C Allmen

A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

Automatic extraction of secondary video streams

A method to determine a base focal length of a pan-tilt-zoom (PTZ) camera system. The method includes generating a spherical mosaic with a feature track by the camera system and determining, by the camera system, a base focal length by analyzing a conic trajectory created by the feature track on an image plane.

Automatic calibration of PTZ camera system

The automatic generation of one or more secondary video streams based on an input primary video stream may use analytics performed on the video to provide information on targets, events, and/or areas of interest to permit the one or more secondary video streams to concentrate on one or more targets, events and/or areas of interest.

A system for detecting behavior of a target may include: a target detection engine, adapted to detect at least one target from one or more objects from a video surveillance system recording a scene; a path builder, adapted to create at least one mature path model from analysis of the behavior of a plurality of targets in the scene, wherein the at least one mature path model includes a model of expected target behavior with respect to the at least one path model; and a target behavior analyzer, adapted to analyze and identify target behavior with respect to the at least one mature path model. The system may further include an alert generator, adapted to generate an alert based on the identified behavior.

Video processing system using target property map

A content analysis engine receives video input and performs analysis of the video input to produce one or more gross change primitives. A view engine coupled to the content analysis engine receives the one or more gross change primitives from the content analysis engine and provides view identification information. A rules engine coupled to the view engine receives the view identification information from the view engine and provides one or more rules based on the view identification information. An inference engine performs video analysis based on the one or more rules provided by the rules engine and the one or more gross change primitives.

View handling in video surveillance systems

A video surveillance 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 video surveillance system may include at least one sensing unit capable of being operated in a scanning mode and a video processing unit coupled to the sensing unit, the video processing unit to receive and process image data from the sensing unit and to detect scene events and target activity.

Scanning camera-based video surveillance system

The automatic generation () of one or more secondary video streams based on an input primary video stream () may use analytics performed on the video to provide information on targets, events, and/or areas of interest to permit the one or more secondary video streams () to concentrate on one or more targets, events, and/or areas of interest.

A system for video monitoring a retail business process includes a video analytics engine to process video obtained by a video camera and generate video primitives regarding the video, A user interface is used to define at least one activity of interest regarding an area being viewed, each activity of interest identifying at least one of a rule or a query regarding the area being viewed. An activity inference engine processes the generated video primitives based on each defined activity of interest to determine if an activity of interest occurred in the video.

Video analytics for retail business process monitoring

Method for finding paths in video

Growing community of inventors

Arlington, VA, United States of America

Andrew J Chosak